--- _id: '10668' abstract: - lang: eng text: 'Robustness to variations in lighting conditions is a key objective for any deep vision system. To this end, our paper extends the receptive field of convolutional neural networks with two residual components, ubiquitous in the visual processing system of vertebrates: On-center and off-center pathways, with an excitatory center and inhibitory surround; OOCS for short. The On-center pathway is excited by the presence of a light stimulus in its center, but not in its surround, whereas the Off-center pathway is excited by the absence of a light stimulus in its center, but not in its surround. We design OOCS pathways via a difference of Gaussians, with their variance computed analytically from the size of the receptive fields. OOCS pathways complement each other in their response to light stimuli, ensuring this way a strong edge-detection capability, and as a result an accurate and robust inference under challenging lighting conditions. We provide extensive empirical evidence showing that networks supplied with OOCS pathways gain accuracy and illumination-robustness from the novel edge representation, compared to other baselines.' acknowledgement: Z.B. is supported by the Doctoral College Resilient Embedded Systems, which is run jointly by the TU Wien’s Faculty of Informatics and the UAS Technikum Wien. R.G. is partially supported by the Horizon 2020 Era-Permed project Persorad, and ECSEL Project grant no. 783163 (iDev40). R.H and D.R were partially supported by Boeing and MIT. M.L. is supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). alternative_title: - PMLR article_processing_charge: No author: - first_name: Zahra full_name: Babaiee, Zahra last_name: Babaiee - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. On-off center-surround receptive fields for accurate and robust image classification. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:478-489.' apa: 'Babaiee, Z., Hasani, R., Lechner, M., Rus, D., & Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.' chicago: Babaiee, Zahra, Ramin Hasani, Mathias Lechner, Daniela Rus, and Radu Grosu. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” In Proceedings of the 38th International Conference on Machine Learning, 139:478–89. ML Research Press, 2021. ieee: Z. Babaiee, R. Hasani, M. Lechner, D. Rus, and R. Grosu, “On-off center-surround receptive fields for accurate and robust image classification,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 478–489. ista: 'Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. 2021. On-off center-surround receptive fields for accurate and robust image classification. Proceedings of the 38th International Conference on Machine Learning. ML: Machine Learning, PMLR, vol. 139, 478–489.' mla: Babaiee, Zahra, et al. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 478–89. short: Z. Babaiee, R. Hasani, M. Lechner, D. Rus, R. Grosu, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 478–489. conference: end_date: 2021-07-24 location: Virtual name: 'ML: Machine Learning' start_date: 2021-07-18 date_created: 2022-01-25T15:46:33Z date_published: 2021-07-01T00:00:00Z date_updated: 2022-05-04T15:02:27Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ToHe file: - access_level: open_access checksum: d30eae62561bb517d9f978437d7677db content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:38:32Z date_updated: 2022-01-26T07:38:32Z file_id: '10681' file_name: babaiee21a.pdf file_size: 4246561 relation: main_file success: 1 file_date_updated: 2022-01-26T07:38:32Z has_accepted_license: '1' intvolume: ' 139' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/3.0/ main_file_link: - open_access: '1' url: https://proceedings.mlr.press/v139/babaiee21a month: '07' oa: 1 oa_version: Published Version page: 478-489 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 38th International Conference on Machine Learning publication_identifier: issn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' status: public title: On-off center-surround receptive fields for accurate and robust image classification tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87 volume: 139 year: '2021' ... --- _id: '10670' abstract: - lang: eng text: "Imitation learning enables high-fidelity, vision-based learning of policies within rich, photorealistic environments. However, such techniques often rely on traditional discrete-time neural models and face difficulties in generalizing to domain shifts by failing to account for the causal relationships between the agent and the environment. In this paper, we propose a theoretical and experimental framework for learning causal representations using continuous-time neural networks, specifically over their discrete-time counterparts. We evaluate our method in the context of visual-control learning of drones over a series of complex tasks, ranging from short- and long-term navigation, to chasing static and dynamic objects through photorealistic environments. Our results demonstrate that causal continuous-time\r\ndeep models can perform robust navigation tasks, where advanced recurrent models fail. These models learn complex causal control representations directly from raw visual inputs and scale to solve a variety of tasks using imitation learning." acknowledgement: "C.V., R.H. A.A. and D.R. are partially supported by Boeing and MIT. A.A. is supported by the National Science Foundation (NSF) Graduate Research Fellowship Program. M.L. is supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). Research was sponsored by the United States Air Force Research Laboratory and the United States Air Force Artificial Intelligence Accelerator and was accomplished under Cooperative Agreement Number FA8750-19-2-1000. The views and conclusions contained in this document are those of the authors\r\nand should not be interpreted as representing the official policies, either expressed or implied, of the United States Air Force or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.\r\n" alternative_title: - ' Advances in Neural Information Processing Systems' article_processing_charge: No author: - first_name: Charles J full_name: Vorbach, Charles J last_name: Vorbach - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Alexander full_name: Amini, Alexander last_name: Amini - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Daniela full_name: Rus, Daniela last_name: Rus citation: ama: 'Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. Causal navigation by continuous-time neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021.' apa: Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., & Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. chicago: Vorbach, Charles J, Ramin Hasani, Alexander Amini, Mathias Lechner, and Daniela Rus. “Causal Navigation by Continuous-Time Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021. ieee: C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021. ista: 'Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. 2021. Causal navigation by continuous-time neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, .' mla: Vorbach, Charles J., et al. “Causal Navigation by Continuous-Time Neural Networks.” 35th Conference on Neural Information Processing Systems, 2021. short: C.J. Vorbach, R. Hasani, A. Amini, M. Lechner, D. Rus, in:, 35th Conference on Neural Information Processing Systems, 2021. conference: end_date: 2021-12-10 location: Virtual name: 'NeurIPS: Neural Information Processing Systems' start_date: 2021-12-06 date_created: 2022-01-25T15:47:50Z date_published: 2021-12-01T00:00:00Z date_updated: 2022-01-26T14:33:31Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ToHe external_id: arxiv: - '2106.08314' file: - access_level: open_access checksum: be81f0ade174a8c9b2d4fe09590b2021 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:37:24Z date_updated: 2022-01-26T07:37:24Z file_id: '10679' file_name: NeurIPS-2021-causal-navigation-by-continuous-time-neural-networks-Paper.pdf file_size: 6841228 relation: main_file success: 1 file_date_updated: 2022-01-26T07:37:24Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://proceedings.neurips.cc/paper/2021/hash/67ba02d73c54f0b83c05507b7fb7267f-Abstract.html month: '12' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 35th Conference on Neural Information Processing Systems publication_status: published quality_controlled: '1' status: public title: Causal navigation by continuous-time neural networks tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2021' ... --- _id: '10688' abstract: - lang: eng text: "Civl is a static verifier for concurrent programs designed around the conceptual framework of layered refinement,\r\nwhich views the task of verifying a program as a sequence of program simplification steps each justified by its own invariant. Civl verifies a layered concurrent program that compactly expresses all the programs in this sequence and the supporting invariants. This paper presents the design and implementation of the Civl verifier." acknowledgement: This research was performed while Bernhard Kragl was at IST Austria, supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). alternative_title: - Conference Series article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 - first_name: Shaz full_name: Qadeer, Shaz last_name: Qadeer citation: ama: 'Kragl B, Qadeer S. The Civl verifier. In: Ruzica P, Whalen MW, eds. Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design. Vol 2. TU Wien Academic Press; 2021:143–152. doi:10.34727/2021/isbn.978-3-85448-046-4_23' apa: 'Kragl, B., & Qadeer, S. (2021). The Civl verifier. In P. Ruzica & M. W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design (Vol. 2, pp. 143–152). Virtual: TU Wien Academic Press. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23' chicago: Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.” In Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, edited by Piskac Ruzica and Michael W. Whalen, 2:143–152. TU Wien Academic Press, 2021. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23. ieee: B. Kragl and S. Qadeer, “The Civl verifier,” in Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, Virtual, 2021, vol. 2, pp. 143–152. ista: 'Kragl B, Qadeer S. 2021. The Civl verifier. Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design. FMCAD: Formal Methods in Computer-Aided Design, Conference Series, vol. 2, 143–152.' mla: Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.” Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, edited by Piskac Ruzica and Michael W. Whalen, vol. 2, TU Wien Academic Press, 2021, pp. 143–152, doi:10.34727/2021/isbn.978-3-85448-046-4_23. short: B. Kragl, S. Qadeer, in:, P. Ruzica, M.W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2021, pp. 143–152. conference: end_date: 2021-10-22 location: Virtual name: 'FMCAD: Formal Methods in Computer-Aided Design' start_date: 2021-10-20 date_created: 2022-01-26T08:01:30Z date_published: 2021-10-01T00:00:00Z date_updated: 2022-01-26T08:20:41Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.34727/2021/isbn.978-3-85448-046-4_23 editor: - first_name: Piskac full_name: Ruzica, Piskac last_name: Ruzica - first_name: Michael W. full_name: Whalen, Michael W. last_name: Whalen file: - access_level: open_access checksum: 35438ac9f9750340b7f8ae4ae3220d9f content_type: application/pdf creator: cchlebak date_created: 2022-01-26T08:04:29Z date_updated: 2022-01-26T08:04:29Z file_id: '10689' file_name: 2021_FCAD2021_Kragl.pdf file_size: 390555 relation: main_file success: 1 file_date_updated: 2022-01-26T08:04:29Z has_accepted_license: '1' intvolume: ' 2' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 143–152 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design publication_identifier: isbn: - 978-3-85448-046-4 publication_status: published publisher: TU Wien Academic Press quality_controlled: '1' status: public title: The Civl verifier tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 volume: 2 year: '2021' ... --- _id: '9281' abstract: - lang: eng text: We comment on two formal proofs of Fermat's sum of two squares theorem, written using the Mathematical Components libraries of the Coq proof assistant. The first one follows Zagier's celebrated one-sentence proof; the second follows David Christopher's recent new proof relying on partition-theoretic arguments. Both formal proofs rely on a general property of involutions of finite sets, of independent interest. The proof technique consists for the most part of automating recurrent tasks (such as case distinctions and computations on natural numbers) via ad hoc tactics. article_number: '2103.11389' article_processing_charge: No author: - first_name: Guillaume full_name: Dubach, Guillaume id: D5C6A458-10C4-11EA-ABF4-A4B43DDC885E last_name: Dubach orcid: 0000-0001-6892-8137 - first_name: Fabian full_name: Mühlböck, Fabian id: 6395C5F6-89DF-11E9-9C97-6BDFE5697425 last_name: Mühlböck orcid: 0000-0003-1548-0177 citation: ama: Dubach G, Mühlböck F. Formal verification of Zagier’s one-sentence proof. arXiv. doi:10.48550/arXiv.2103.11389 apa: Dubach, G., & Mühlböck, F. (n.d.). Formal verification of Zagier’s one-sentence proof. arXiv. https://doi.org/10.48550/arXiv.2103.11389 chicago: Dubach, Guillaume, and Fabian Mühlböck. “Formal Verification of Zagier’s One-Sentence Proof.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2103.11389. ieee: G. Dubach and F. Mühlböck, “Formal verification of Zagier’s one-sentence proof,” arXiv. . ista: Dubach G, Mühlböck F. Formal verification of Zagier’s one-sentence proof. arXiv, 2103.11389. mla: Dubach, Guillaume, and Fabian Mühlböck. “Formal Verification of Zagier’s One-Sentence Proof.” ArXiv, 2103.11389, doi:10.48550/arXiv.2103.11389. short: G. Dubach, F. Mühlböck, ArXiv (n.d.). date_created: 2021-03-23T05:38:48Z date_published: 2021-03-21T00:00:00Z date_updated: 2023-05-03T10:26:45Z day: '21' department: - _id: LaEr - _id: ToHe doi: 10.48550/arXiv.2103.11389 ec_funded: 1 external_id: arxiv: - '2103.11389' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2103.11389 month: '03' oa: 1 oa_version: Preprint project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: arXiv publication_status: submitted related_material: record: - id: '9946' relation: other status: public status: public title: Formal verification of Zagier's one-sentence proof type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '10665' abstract: - lang: eng text: "Formal verification of neural networks is an active topic of research, and recent advances have significantly increased the size of the networks that verification tools can handle. However, most methods are designed for verification of an idealized model of the actual network which works over real arithmetic and ignores rounding imprecisions. This idealization is in stark contrast to network quantization, which is a technique that trades numerical precision for computational efficiency and is, therefore, often applied in practice. Neglecting rounding errors of such low-bit quantized neural networks has been shown to lead to wrong conclusions about the network’s correctness. Thus, the desired approach for verifying quantized neural networks would be one that takes these rounding errors\r\ninto account. In this paper, we show that verifying the bitexact implementation of quantized neural networks with bitvector specifications is PSPACE-hard, even though verifying idealized real-valued networks and satisfiability of bit-vector specifications alone are each in NP. Furthermore, we explore several practical heuristics toward closing the complexity gap between idealized and bit-exact verification. In particular, we propose three techniques for making SMT-based verification of quantized neural networks more scalable. Our experiments demonstrate that our proposed methods allow a speedup of up to three orders of magnitude over existing approaches." acknowledgement: "This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein\r\nAward), ERC CoG 863818 (FoRM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.\r\n" alternative_title: - Technical Tracks article_processing_charge: No author: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic citation: ama: 'Henzinger TA, Lechner M, Zikelic D. Scalable verification of quantized neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:3787-3795.' apa: 'Henzinger, T. A., Lechner, M., & Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.' chicago: Henzinger, Thomas A, Mathias Lechner, and Dorde Zikelic. “Scalable Verification of Quantized Neural Networks.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:3787–95. AAAI Press, 2021. ieee: T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795. ista: 'Henzinger TA, Lechner M, Zikelic D. 2021. Scalable verification of quantized neural networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 3787–3795.' mla: Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95. short: T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795. conference: end_date: 2021-02-09 location: Virtual name: 'AAAI: Association for the Advancement of Artificial Intelligence' start_date: 2021-02-02 date_created: 2022-01-25T15:15:02Z date_published: 2021-05-28T00:00:00Z date_updated: 2023-06-23T07:01:11Z day: '28' ddc: - '000' department: - _id: GradSch - _id: ToHe ec_funded: 1 external_id: arxiv: - '2012.08185' file: - access_level: open_access checksum: 2bc8155b2526a70fba5b7301bc89dbd1 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:41:16Z date_updated: 2022-01-26T07:41:16Z file_id: '10684' file_name: 16496-Article Text-19990-1-2-20210518 (1).pdf file_size: 137235 relation: main_file success: 1 file_date_updated: 2022-01-26T07:41:16Z has_accepted_license: '1' intvolume: ' 35' issue: 5A language: - iso: eng main_file_link: - open_access: '1' url: https://ojs.aaai.org/index.php/AAAI/article/view/16496 month: '05' oa: 1 oa_version: Published Version page: 3787-3795 project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - 978-1-57735-866-4 issn: - 2159-5399 publication_status: published publisher: AAAI Press quality_controlled: '1' related_material: record: - id: '11362' relation: dissertation_contains status: public scopus_import: '1' status: public title: Scalable verification of quantized neural networks type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 35 year: '2021' ... --- _id: '10667' abstract: - lang: eng text: Bayesian neural networks (BNNs) place distributions over the weights of a neural network to model uncertainty in the data and the network's prediction. We consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with infinite time horizon systems. Compared to the existing sampling-based approaches, which are inapplicable to the infinite time horizon setting, we train a separate deterministic neural network that serves as an infinite time horizon safety certificate. In particular, we show that the certificate network guarantees the safety of the system over a subset of the BNN weight posterior's support. Our method first computes a safe weight set and then alters the BNN's weight posterior to reject samples outside this set. Moreover, we show how to extend our approach to a safe-exploration reinforcement learning setting, in order to avoid unsafe trajectories during the training of the policy. We evaluate our approach on a series of reinforcement learning benchmarks, including non-Lyapunovian safety specifications. acknowledgement: This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award), ERC CoG 863818 (FoRM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. alternative_title: - ' Advances in Neural Information Processing Systems' article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ðorđe full_name: Žikelić, Ðorđe last_name: Žikelić - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. Infinite time horizon safety of Bayesian neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021. doi:10.48550/arXiv.2111.03165' apa: Lechner, M., Žikelić, Ð., Chatterjee, K., & Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. https://doi.org/10.48550/arXiv.2111.03165 chicago: Lechner, Mathias, Ðorđe Žikelić, Krishnendu Chatterjee, and Thomas A Henzinger. “Infinite Time Horizon Safety of Bayesian Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021. https://doi.org/10.48550/arXiv.2111.03165. ieee: M. Lechner, Ð. Žikelić, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021. ista: 'Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. 2021. Infinite time horizon safety of Bayesian neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, .' mla: Lechner, Mathias, et al. “Infinite Time Horizon Safety of Bayesian Neural Networks.” 35th Conference on Neural Information Processing Systems, 2021, doi:10.48550/arXiv.2111.03165. short: M. Lechner, Ð. Žikelić, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021. conference: end_date: 2021-12-10 location: Virtual name: 'NeurIPS: Neural Information Processing Systems' start_date: 2021-12-06 date_created: 2022-01-25T15:45:58Z date_published: 2021-12-01T00:00:00Z date_updated: 2023-06-23T07:01:11Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ToHe - _id: KrCh doi: 10.48550/arXiv.2111.03165 ec_funded: 1 external_id: arxiv: - '2111.03165' file: - access_level: open_access checksum: 0fc0f852525c10dda9cc9ffea07fb4e4 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:39:59Z date_updated: 2022-01-26T07:39:59Z file_id: '10682' file_name: infinite_time_horizon_safety_o.pdf file_size: 452492 relation: main_file success: 1 file_date_updated: 2022-01-26T07:39:59Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://proceedings.neurips.cc/paper/2021/hash/544defa9fddff50c53b71c43e0da72be-Abstract.html month: '12' oa: 1 oa_version: Published Version project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 35th Conference on Neural Information Processing Systems publication_status: published quality_controlled: '1' related_material: record: - id: '11362' relation: dissertation_contains status: public status: public title: Infinite time horizon safety of Bayesian neural networks tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '8912' abstract: - lang: eng text: "For automata, synchronization, the problem of bringing an automaton to a particular state regardless of its initial state, is important. It has several applications in practice and is related to a fifty-year-old conjecture on the length of the shortest synchronizing word. Although using shorter words increases the effectiveness in practice, finding a shortest one (which is not necessarily unique) is NP-hard. For this reason, there exist various heuristics in the literature. However, high-quality heuristics such as SynchroP producing relatively shorter sequences are very expensive and can take hours when the automaton has tens of thousands of states. The SynchroP heuristic has been frequently used as a benchmark to evaluate the performance of the new heuristics. In this work, we first improve the runtime of SynchroP and its variants by using algorithmic techniques. We then focus on adapting SynchroP for many-core architectures,\r\nand overall, we obtain more than 1000× speedup on GPUs compared to naive sequential implementation that has been frequently used as a benchmark to evaluate new heuristics in the literature. We also propose two SynchroP variants and evaluate their performance." acknowledgement: This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) [grant number 114E569]. This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). We would like to thank the authors of (Roman & Szykula, 2015) for providing their heuristics implementations, which we used to compare our SynchroP implementation as given in Table 11. article_number: '114203' article_processing_charge: No article_type: original author: - first_name: Naci E full_name: Sarac, Naci E id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425 last_name: Sarac - first_name: Ömer Faruk full_name: Altun, Ömer Faruk last_name: Altun - first_name: Kamil Tolga full_name: Atam, Kamil Tolga last_name: Atam - first_name: Sertac full_name: Karahoda, Sertac last_name: Karahoda - first_name: Kamer full_name: Kaya, Kamer last_name: Kaya - first_name: Hüsnü full_name: Yenigün, Hüsnü last_name: Yenigün citation: ama: Sarac NE, Altun ÖF, Atam KT, Karahoda S, Kaya K, Yenigün H. Boosting expensive synchronizing heuristics. Expert Systems with Applications. 2021;167(4). doi:10.1016/j.eswa.2020.114203 apa: Sarac, N. E., Altun, Ö. F., Atam, K. T., Karahoda, S., Kaya, K., & Yenigün, H. (2021). Boosting expensive synchronizing heuristics. Expert Systems with Applications. Elsevier. https://doi.org/10.1016/j.eswa.2020.114203 chicago: Sarac, Naci E, Ömer Faruk Altun, Kamil Tolga Atam, Sertac Karahoda, Kamer Kaya, and Hüsnü Yenigün. “Boosting Expensive Synchronizing Heuristics.” Expert Systems with Applications. Elsevier, 2021. https://doi.org/10.1016/j.eswa.2020.114203. ieee: N. E. Sarac, Ö. F. Altun, K. T. Atam, S. Karahoda, K. Kaya, and H. Yenigün, “Boosting expensive synchronizing heuristics,” Expert Systems with Applications, vol. 167, no. 4. Elsevier, 2021. ista: Sarac NE, Altun ÖF, Atam KT, Karahoda S, Kaya K, Yenigün H. 2021. Boosting expensive synchronizing heuristics. Expert Systems with Applications. 167(4), 114203. mla: Sarac, Naci E., et al. “Boosting Expensive Synchronizing Heuristics.” Expert Systems with Applications, vol. 167, no. 4, 114203, Elsevier, 2021, doi:10.1016/j.eswa.2020.114203. short: N.E. Sarac, Ö.F. Altun, K.T. Atam, S. Karahoda, K. Kaya, H. Yenigün, Expert Systems with Applications 167 (2021). date_created: 2020-12-02T13:34:25Z date_published: 2021-04-01T00:00:00Z date_updated: 2023-08-04T11:19:00Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1016/j.eswa.2020.114203 external_id: isi: - '000640531100038' file: - access_level: open_access checksum: 600c2f81bc898a725bcfa7cf26ff4fed content_type: application/pdf creator: esarac date_created: 2020-12-02T13:33:51Z date_updated: 2020-12-02T13:33:51Z file_id: '8913' file_name: synchroPaperRevised.pdf file_size: 634967 relation: main_file file_date_updated: 2020-12-02T13:33:51Z has_accepted_license: '1' intvolume: ' 167' isi: 1 issue: '4' language: - iso: eng month: '04' oa: 1 oa_version: Submitted Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Expert Systems with Applications publication_identifier: issn: - '09574174' publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Boosting expensive synchronizing heuristics type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 167 year: '2021' ... --- _id: '9200' abstract: - lang: eng text: Formal design of embedded and cyber-physical systems relies on mathematical modeling. In this paper, we consider the model class of hybrid automata whose dynamics are defined by affine differential equations. Given a set of time-series data, we present an algorithmic approach to synthesize a hybrid automaton exhibiting behavior that is close to the data, up to a specified precision, and changes in synchrony with the data. A fundamental problem in our synthesis algorithm is to check membership of a time series in a hybrid automaton. Our solution integrates reachability and optimization techniques for affine dynamical systems to obtain both a sufficient and a necessary condition for membership, combined in a refinement framework. The algorithm processes one time series at a time and hence can be interrupted, provide an intermediate result, and be resumed. We report experimental results demonstrating the applicability of our synthesis approach. acknowledgement: This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award) and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754411. article_processing_charge: No author: - first_name: Miriam full_name: Garcia Soto, Miriam id: 4B3207F6-F248-11E8-B48F-1D18A9856A87 last_name: Garcia Soto orcid: 0000-0003-2936-5719 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: 'Garcia Soto M, Henzinger TA, Schilling C. Synthesis of hybrid automata with affine dynamics from time-series data. In: HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control. Association for Computing Machinery; 2021:2102.12734. doi:10.1145/3447928.3456704' apa: 'Garcia Soto, M., Henzinger, T. A., & Schilling, C. (2021). Synthesis of hybrid automata with affine dynamics from time-series data. In HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control (p. 2102.12734). Nashville, TN, United States: Association for Computing Machinery. https://doi.org/10.1145/3447928.3456704' chicago: 'Garcia Soto, Miriam, Thomas A Henzinger, and Christian Schilling. “Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data.” In HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, 2102.12734. Association for Computing Machinery, 2021. https://doi.org/10.1145/3447928.3456704.' ieee: 'M. Garcia Soto, T. A. Henzinger, and C. Schilling, “Synthesis of hybrid automata with affine dynamics from time-series data,” in HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, Nashville, TN, United States, 2021, p. 2102.12734.' ista: 'Garcia Soto M, Henzinger TA, Schilling C. 2021. Synthesis of hybrid automata with affine dynamics from time-series data. HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control. HSCC: International Conference on Hybrid Systems Computation and Control, 2102.12734.' mla: 'Garcia Soto, Miriam, et al. “Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data.” HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, Association for Computing Machinery, 2021, p. 2102.12734, doi:10.1145/3447928.3456704.' short: 'M. Garcia Soto, T.A. Henzinger, C. Schilling, in:, HSCC ’21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control, Association for Computing Machinery, 2021, p. 2102.12734.' conference: end_date: 2021-05-21 location: Nashville, TN, United States name: 'HSCC: International Conference on Hybrid Systems Computation and Control' start_date: 2021-05-19 date_created: 2021-02-26T16:30:39Z date_published: 2021-05-01T00:00:00Z date_updated: 2023-08-07T13:49:33Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1145/3447928.3456704 ec_funded: 1 external_id: arxiv: - '2102.12734' isi: - '000932821700028' file: - access_level: open_access checksum: 4c1202c1abf71384c3ee6fea88c2f80e content_type: application/pdf creator: kschuh date_created: 2021-05-25T13:53:22Z date_updated: 2021-05-25T13:53:22Z file_id: '9424' file_name: 2021_HSCC_Soto.pdf file_size: 1474786 relation: main_file success: 1 file_date_updated: 2021-05-25T13:53:22Z has_accepted_license: '1' isi: 1 keyword: - hybrid automaton - membership - system identification language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '2102.12734' project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: 'HSCC ''21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control' publication_identifier: isbn: - '9781450383394' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' scopus_import: '1' status: public title: Synthesis of hybrid automata with affine dynamics from time-series data tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '9239' abstract: - lang: eng text: 'A graph game proceeds as follows: two players move a token through a graph to produce a finite or infinite path, which determines the payoff of the game. We study bidding games in which in each turn, an auction determines which player moves the token. Bidding games were largely studied in combination with two variants of first-price auctions called “Richman” and “poorman” bidding. We study taxman bidding, which span the spectrum between the two. The game is parameterized by a constant : portion τ of the winning bid is paid to the other player, and portion to the bank. While finite-duration (reachability) taxman games have been studied before, we present, for the first time, results on infinite-duration taxman games: we unify, generalize, and simplify previous equivalences between bidding games and a class of stochastic games called random-turn games.' article_processing_charge: No article_type: original author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Đorđe full_name: Žikelić, Đorđe last_name: Žikelić citation: ama: Avni G, Henzinger TA, Žikelić Đ. Bidding mechanisms in graph games. Journal of Computer and System Sciences. 2021;119(8):133-144. doi:10.1016/j.jcss.2021.02.008 apa: Avni, G., Henzinger, T. A., & Žikelić, Đ. (2021). Bidding mechanisms in graph games. Journal of Computer and System Sciences. Elsevier. https://doi.org/10.1016/j.jcss.2021.02.008 chicago: Avni, Guy, Thomas A Henzinger, and Đorđe Žikelić. “Bidding Mechanisms in Graph Games.” Journal of Computer and System Sciences. Elsevier, 2021. https://doi.org/10.1016/j.jcss.2021.02.008. ieee: G. Avni, T. A. Henzinger, and Đ. Žikelić, “Bidding mechanisms in graph games,” Journal of Computer and System Sciences, vol. 119, no. 8. Elsevier, pp. 133–144, 2021. ista: Avni G, Henzinger TA, Žikelić Đ. 2021. Bidding mechanisms in graph games. Journal of Computer and System Sciences. 119(8), 133–144. mla: Avni, Guy, et al. “Bidding Mechanisms in Graph Games.” Journal of Computer and System Sciences, vol. 119, no. 8, Elsevier, 2021, pp. 133–44, doi:10.1016/j.jcss.2021.02.008. short: G. Avni, T.A. Henzinger, Đ. Žikelić, Journal of Computer and System Sciences 119 (2021) 133–144. date_created: 2021-03-14T23:01:32Z date_published: 2021-03-03T00:00:00Z date_updated: 2023-08-07T14:08:34Z day: '03' department: - _id: ToHe doi: 10.1016/j.jcss.2021.02.008 external_id: arxiv: - '1905.03835' isi: - '000634149800009' intvolume: ' 119' isi: 1 issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1905.03835 month: '03' oa: 1 oa_version: Preprint page: 133-144 publication: Journal of Computer and System Sciences publication_identifier: eissn: - 1090-2724 issn: - 0022-0000 publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '6884' relation: earlier_version status: public scopus_import: '1' status: public title: Bidding mechanisms in graph games type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 119 year: '2021' ... --- _id: '9356' abstract: - lang: eng text: 'In runtime verification, a monitor watches a trace of a system and, if possible, decides after observing each finite prefix whether or not the unknown infinite trace satisfies a given specification. We generalize the theory of runtime verification to monitors that attempt to estimate numerical values of quantitative trace properties (instead of attempting to conclude boolean values of trace specifications), such as maximal or average response time along a trace. Quantitative monitors are approximate: with every finite prefix, they can improve their estimate of the infinite trace''s unknown property value. Consequently, quantitative monitors can be compared with regard to a precision-cost trade-off: better approximations of the property value require more monitor resources, such as states (in the case of finite-state monitors) or registers, and additional resources yield better approximations. We introduce a formal framework for quantitative and approximate monitoring, show how it conservatively generalizes the classical boolean setting for monitoring, and give several precision-cost trade-offs for monitors. For example, we prove that there are quantitative properties for which every additional register improves monitoring precision.' acknowledgement: We thank the anonymous reviewers for their helpful comments. This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). article_number: '9470547' article_processing_charge: No author: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Naci E full_name: Sarac, Naci E id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425 last_name: Sarac citation: ama: 'Henzinger TA, Sarac NE. Quantitative and approximate monitoring. In: Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Institute of Electrical and Electronics Engineers; 2021. doi:10.1109/LICS52264.2021.9470547' apa: 'Henzinger, T. A., & Sarac, N. E. (2021). Quantitative and approximate monitoring. In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Online: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS52264.2021.9470547' chicago: Henzinger, Thomas A, and Naci E Sarac. “Quantitative and Approximate Monitoring.” In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/LICS52264.2021.9470547. ieee: T. A. Henzinger and N. E. Sarac, “Quantitative and approximate monitoring,” in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Online, 2021. ista: 'Henzinger TA, Sarac NE. 2021. Quantitative and approximate monitoring. Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. LICS: Symposium on Logic in Computer Science, 9470547.' mla: Henzinger, Thomas A., and Naci E. Sarac. “Quantitative and Approximate Monitoring.” Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, 9470547, Institute of Electrical and Electronics Engineers, 2021, doi:10.1109/LICS52264.2021.9470547. short: T.A. Henzinger, N.E. Sarac, in:, Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Institute of Electrical and Electronics Engineers, 2021. conference: end_date: 2021-07-02 location: Online name: 'LICS: Symposium on Logic in Computer Science' start_date: 2021-06-29 date_created: 2021-04-30T17:30:47Z date_published: 2021-06-29T00:00:00Z date_updated: 2023-08-08T13:52:56Z day: '29' ddc: - '000' department: - _id: GradSch - _id: ToHe doi: 10.1109/LICS52264.2021.9470547 external_id: arxiv: - '2105.08353' isi: - '000947350400021' file: - access_level: open_access checksum: 6e4cba3f72775f479c5b1b75d1a4a0c4 content_type: application/pdf creator: esarac date_created: 2021-06-16T08:23:54Z date_updated: 2021-06-16T08:23:54Z file_id: '9557' file_name: qam.pdf file_size: 641990 relation: main_file success: 1 file_date_updated: 2021-06-16T08:23:54Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '06' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Quantitative and approximate monitoring type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '9647' abstract: - lang: eng text: 'Gene expression is regulated by the set of transcription factors (TFs) that bind to the promoter. The ensuing regulating function is often represented as a combinational logic circuit, where output (gene expression) is determined by current input values (promoter bound TFs) only. However, the simultaneous arrival of TFs is a strong assumption, since transcription and translation of genes introduce intrinsic time delays and there is no global synchronisation among the arrival times of different molecular species at their targets. We present an experimentally implementable genetic circuit with two inputs and one output, which in the presence of small delays in input arrival, exhibits qualitatively distinct population-level phenotypes, over timescales that are longer than typical cell doubling times. From a dynamical systems point of view, these phenotypes represent long-lived transients: although they converge to the same value eventually, they do so after a very long time span. The key feature of this toy model genetic circuit is that, despite having only two inputs and one output, it is regulated by twenty-three distinct DNA-TF configurations, two of which are more stable than others (DNA looped states), one promoting and another blocking the expression of the output gene. Small delays in input arrival time result in a majority of cells in the population quickly reaching the stable state associated with the first input, while exiting of this stable state occurs at a slow timescale. In order to mechanistically model the behaviour of this genetic circuit, we used a rule-based modelling language, and implemented a grid-search to find parameter combinations giving rise to long-lived transients. Our analysis shows that in the absence of feedback, there exist path-dependent gene regulatory mechanisms based on the long timescale of transients. The behaviour of this toy model circuit suggests that gene regulatory networks can exploit event timing to create phenotypes, and it opens the possibility that they could use event timing to memorise events, without regulatory feedback. The model reveals the importance of (i) mechanistically modelling the transitions between the different DNA-TF states, and (ii) employing transient analysis thereof.' acknowledgement: 'Tatjana Petrov’s research was supported in part by SNSF Advanced Postdoctoral Mobility Fellowship grant number P300P2 161067, the Ministry of Science, Research and the Arts of the state of Baden-Wurttemberg, and the DFG Centre of Excellence 2117 ‘Centre for the Advanced Study of Collective Behaviour’ (ID: 422037984). Claudia Igler is the recipient of a DOC Fellowship of the Austrian Academy of Sciences. Thomas A. Henzinger’s research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award).' article_processing_charge: No article_type: original author: - first_name: Tatjana full_name: Petrov, Tatjana last_name: Petrov - first_name: Claudia full_name: Igler, Claudia id: 46613666-F248-11E8-B48F-1D18A9856A87 last_name: Igler - first_name: Ali full_name: Sezgin, Ali id: 4C7638DA-F248-11E8-B48F-1D18A9856A87 last_name: Sezgin - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Petrov T, Igler C, Sezgin A, Henzinger TA, Guet CC. Long lived transients in gene regulation. Theoretical Computer Science. 2021;893:1-16. doi:10.1016/j.tcs.2021.05.023 apa: Petrov, T., Igler, C., Sezgin, A., Henzinger, T. A., & Guet, C. C. (2021). Long lived transients in gene regulation. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2021.05.023 chicago: Petrov, Tatjana, Claudia Igler, Ali Sezgin, Thomas A Henzinger, and Calin C Guet. “Long Lived Transients in Gene Regulation.” Theoretical Computer Science. Elsevier, 2021. https://doi.org/10.1016/j.tcs.2021.05.023. ieee: T. Petrov, C. Igler, A. Sezgin, T. A. Henzinger, and C. C. Guet, “Long lived transients in gene regulation,” Theoretical Computer Science, vol. 893. Elsevier, pp. 1–16, 2021. ista: Petrov T, Igler C, Sezgin A, Henzinger TA, Guet CC. 2021. Long lived transients in gene regulation. Theoretical Computer Science. 893, 1–16. mla: Petrov, Tatjana, et al. “Long Lived Transients in Gene Regulation.” Theoretical Computer Science, vol. 893, Elsevier, 2021, pp. 1–16, doi:10.1016/j.tcs.2021.05.023. short: T. Petrov, C. Igler, A. Sezgin, T.A. Henzinger, C.C. Guet, Theoretical Computer Science 893 (2021) 1–16. date_created: 2021-07-11T22:01:18Z date_published: 2021-06-04T00:00:00Z date_updated: 2023-08-10T14:11:19Z day: '04' ddc: - '004' department: - _id: ToHe - _id: CaGu doi: 10.1016/j.tcs.2021.05.023 external_id: isi: - '000710180500002' file: - access_level: open_access checksum: d3aef34cfb13e53bba4cf44d01680793 content_type: application/pdf creator: dernst date_created: 2022-05-12T12:13:27Z date_updated: 2022-05-12T12:13:27Z file_id: '11364' file_name: 2021_TheoreticalComputerScience_Petrov.pdf file_size: 2566504 relation: main_file success: 1 file_date_updated: 2022-05-12T12:13:27Z has_accepted_license: '1' intvolume: ' 893' isi: 1 language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 1-16 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Theoretical Computer Science publication_identifier: issn: - 0304-3975 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Long lived transients in gene regulation tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 893 year: '2021' ... --- _id: '10108' abstract: - lang: eng text: We argue that the time is ripe to investigate differential monitoring, in which the specification of a program's behavior is implicitly given by a second program implementing the same informal specification. Similar ideas have been proposed before, and are currently implemented in restricted form for testing and specialized run-time analyses, aspects of which we combine. We discuss the challenges of implementing differential monitoring as a general-purpose, black-box run-time monitoring framework, and present promising results of a preliminary implementation, showing low monitoring overheads for diverse programs. acknowledgement: The authors would like to thank Borzoo Bonakdarpour, Derek Dreyer, Adrian Francalanza, Owolabi Legunsen, Mae Milano, Manuel Rigger, Cesar Sanchez, and the members of the IST Verification Seminar for their helpful comments and insights on various stages of this work, as well as the reviewers of RV’21 for their helpful suggestions on the actual paper. alternative_title: - LNCS article_processing_charge: No author: - first_name: Fabian full_name: Mühlböck, Fabian id: 6395C5F6-89DF-11E9-9C97-6BDFE5697425 last_name: Mühlböck orcid: 0000-0003-1548-0177 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Mühlböck F, Henzinger TA. Differential monitoring. In: International Conference on Runtime Verification. Vol 12974. Cham: Springer Nature; 2021:231-243. doi:10.1007/978-3-030-88494-9_12' apa: 'Mühlböck, F., & Henzinger, T. A. (2021). Differential monitoring. In International Conference on Runtime Verification (Vol. 12974, pp. 231–243). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-88494-9_12' chicago: 'Mühlböck, Fabian, and Thomas A Henzinger. “Differential Monitoring.” In International Conference on Runtime Verification, 12974:231–43. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-88494-9_12.' ieee: F. Mühlböck and T. A. Henzinger, “Differential monitoring,” in International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 231–243. ista: 'Mühlböck F, Henzinger TA. 2021. Differential monitoring. International Conference on Runtime Verification. RV: Runtime Verification, LNCS, vol. 12974, 231–243.' mla: Mühlböck, Fabian, and Thomas A. Henzinger. “Differential Monitoring.” International Conference on Runtime Verification, vol. 12974, Springer Nature, 2021, pp. 231–43, doi:10.1007/978-3-030-88494-9_12. short: F. Mühlböck, T.A. Henzinger, in:, International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 231–243. conference: end_date: 2021-10-14 location: Virtual name: 'RV: Runtime Verification' start_date: 2021-10-11 date_created: 2021-10-07T23:30:10Z date_published: 2021-10-06T00:00:00Z date_updated: 2023-08-14T07:20:30Z day: '06' ddc: - '005' department: - _id: ToHe doi: 10.1007/978-3-030-88494-9_12 external_id: isi: - '000719383800012' file: - access_level: open_access checksum: 554c7fdb259eda703a8b6328a6dad55a content_type: application/pdf creator: fmuehlbo date_created: 2021-10-07T23:32:18Z date_updated: 2021-10-07T23:32:18Z file_id: '10109' file_name: differentialmonitoring-cameraready-openaccess.pdf file_size: 350632 relation: main_file success: 1 file_date_updated: 2021-10-07T23:32:18Z has_accepted_license: '1' intvolume: ' 12974' isi: 1 keyword: - run-time verification - software engineering - implicit specification language: - iso: eng month: '10' oa: 1 oa_version: Preprint page: 231-243 place: Cham project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: International Conference on Runtime Verification publication_identifier: eisbn: - 978-3-030-88494-9 eissn: - 1611-3349 isbn: - 978-3-030-88493-2 issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '9946' relation: extended_version status: public scopus_import: '1' status: public title: Differential monitoring type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 12974 year: '2021' ... --- _id: '9946' abstract: - lang: eng text: We argue that the time is ripe to investigate differential monitoring, in which the specification of a program's behavior is implicitly given by a second program implementing the same informal specification. Similar ideas have been proposed before, and are currently implemented in restricted form for testing and specialized run-time analyses, aspects of which we combine. We discuss the challenges of implementing differential monitoring as a general-purpose, black-box run-time monitoring framework, and present promising results of a preliminary implementation, showing low monitoring overheads for diverse programs. acknowledgement: The authors would like to thank Borzoo Bonakdarpour, Derek Dreyer, Adrian Francalanza, Owolabi Legunsen, Matthew Milano, Manuel Rigger, Cesar Sanchez, and the members of the IST Verification Seminar for their helpful comments and insights on various stages of this work, as well as the reviewers of RV’21 for their helpful suggestions on the actual paper. alternative_title: - IST Austria Technical Report article_processing_charge: No author: - first_name: Fabian full_name: Mühlböck, Fabian id: 6395C5F6-89DF-11E9-9C97-6BDFE5697425 last_name: Mühlböck orcid: 0000-0003-1548-0177 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: Mühlböck F, Henzinger TA. Differential Monitoring. IST Austria; 2021. doi:10.15479/AT:ISTA:9946 apa: Mühlböck, F., & Henzinger, T. A. (2021). Differential monitoring. IST Austria. https://doi.org/10.15479/AT:ISTA:9946 chicago: Mühlböck, Fabian, and Thomas A Henzinger. Differential Monitoring. IST Austria, 2021. https://doi.org/10.15479/AT:ISTA:9946. ieee: F. Mühlböck and T. A. Henzinger, Differential monitoring. IST Austria, 2021. ista: Mühlböck F, Henzinger TA. 2021. Differential monitoring, IST Austria, 17p. mla: Mühlböck, Fabian, and Thomas A. Henzinger. Differential Monitoring. IST Austria, 2021, doi:10.15479/AT:ISTA:9946. short: F. Mühlböck, T.A. Henzinger, Differential Monitoring, IST Austria, 2021. date_created: 2021-08-20T20:00:37Z date_published: 2021-09-01T00:00:00Z date_updated: 2023-08-14T07:20:29Z day: '01' ddc: - '005' department: - _id: ToHe doi: 10.15479/AT:ISTA:9946 file: - access_level: open_access checksum: 0f9aafd59444cb6bdca6925d163ab946 content_type: application/pdf creator: fmuehlbo date_created: 2021-08-20T19:59:44Z date_updated: 2021-09-03T12:34:28Z file_id: '9948' file_name: differentialmonitoring-techreport.pdf file_size: '320453' relation: main_file file_date_updated: 2021-09-03T12:34:28Z has_accepted_license: '1' keyword: - run-time verification - software engineering - implicit specification language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: '17' project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria related_material: record: - id: '9281' relation: other status: public - id: '10108' relation: shorter_version status: public status: public title: Differential monitoring type: technical_report user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2021' ... --- _id: '10404' abstract: - lang: eng text: While convolutional neural networks (CNNs) have found wide adoption as state-of-the-art models for image-related tasks, their predictions are often highly sensitive to small input perturbations, which the human vision is robust against. This paper presents Perturber, a web-based application that allows users to instantaneously explore how CNN activations and predictions evolve when a 3D input scene is interactively perturbed. Perturber offers a large variety of scene modifications, such as camera controls, lighting and shading effects, background modifications, object morphing, as well as adversarial attacks, to facilitate the discovery of potential vulnerabilities. Fine-tuned model versions can be directly compared for qualitative evaluation of their robustness. Case studies with machine learning experts have shown that Perturber helps users to quickly generate hypotheses about model vulnerabilities and to qualitatively compare model behavior. Using quantitative analyses, we could replicate users’ insights with other CNN architectures and input images, yielding new insights about the vulnerability of adversarially trained models. acknowledgement: "We thank Robert Geirhos and Roland Zimmermann for their participation in the case study and valuable feedback, Chris Olah and Nick Cammarata for valuable discussions in the early phase of the project, as well as the Distill Slack workspace as a platform for discussions. M.L. is supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). J.B. is supported by the German Federal Ministry of Education and Research\r\n(BMBF) through the Competence Center for Machine Learning (TUE.AI, FKZ 01IS18039A) and the International Max Planck Research School for Intelligent Systems (IMPRS-IS). R.H. is partially supported by Boeing and Horizon-2020 ECSEL (grant 783163, iDev40).\r\n" article_processing_charge: No article_type: original author: - first_name: Stefan full_name: Sietzen, Stefan last_name: Sietzen - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Judy full_name: Borowski, Judy last_name: Borowski - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Manuela full_name: Waldner, Manuela last_name: Waldner citation: ama: Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. Interactive analysis of CNN robustness. Computer Graphics Forum. 2021;40(7):253-264. doi:10.1111/cgf.14418 apa: Sietzen, S., Lechner, M., Borowski, J., Hasani, R., & Waldner, M. (2021). Interactive analysis of CNN robustness. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14418 chicago: Sietzen, Stefan, Mathias Lechner, Judy Borowski, Ramin Hasani, and Manuela Waldner. “Interactive Analysis of CNN Robustness.” Computer Graphics Forum. Wiley, 2021. https://doi.org/10.1111/cgf.14418. ieee: S. Sietzen, M. Lechner, J. Borowski, R. Hasani, and M. Waldner, “Interactive analysis of CNN robustness,” Computer Graphics Forum, vol. 40, no. 7. Wiley, pp. 253–264, 2021. ista: Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. 2021. Interactive analysis of CNN robustness. Computer Graphics Forum. 40(7), 253–264. mla: Sietzen, Stefan, et al. “Interactive Analysis of CNN Robustness.” Computer Graphics Forum, vol. 40, no. 7, Wiley, 2021, pp. 253–64, doi:10.1111/cgf.14418. short: S. Sietzen, M. Lechner, J. Borowski, R. Hasani, M. Waldner, Computer Graphics Forum 40 (2021) 253–264. date_created: 2021-12-05T23:01:40Z date_published: 2021-11-27T00:00:00Z date_updated: 2023-08-14T13:11:42Z day: '27' department: - _id: ToHe doi: 10.1111/cgf.14418 external_id: arxiv: - '2110.07667' isi: - '000722952000024' intvolume: ' 40' isi: 1 issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2110.07667 month: '11' oa: 1 oa_version: Preprint page: 253-264 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Computer Graphics Forum publication_identifier: eissn: - 1467-8659 issn: - 0167-7055 publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: Interactive analysis of CNN robustness type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 40 year: '2021' ... --- _id: '10674' abstract: - lang: eng text: 'In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the winner of the game. Such games are central in formal methods since they model the interaction between a non-terminating system and its environment. In bidding games the players bid for the right to move the token: in each round, the players simultaneously submit bids, and the higher bidder moves the token and pays the other player. Bidding games are known to have a clean and elegant mathematical structure that relies on the ability of the players to submit arbitrarily small bids. Many applications, however, require a fixed granularity for the bids, which can represent, for example, the monetary value expressed in cents. We study, for the first time, the combination of discrete-bidding and infinite-duration games. Our most important result proves that these games form a large determined subclass of concurrent games, where determinacy is the strong property that there always exists exactly one player who can guarantee winning the game. In particular, we show that, in contrast to non-discrete bidding games, the mechanism with which tied bids are resolved plays an important role in discrete-bidding games. We study several natural tie-breaking mechanisms and show that, while some do not admit determinacy, most natural mechanisms imply determinacy for every pair of initial budgets.' acknowledgement: "This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE), Z211-N23 (Wittgenstein Award), and M 2369-N33 (Meitner fellowship).\r\n" article_processing_charge: No article_type: original author: - first_name: Milad full_name: Aghajohari, Milad last_name: Aghajohari - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: Aghajohari M, Avni G, Henzinger TA. Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. 2021;17(1):10:1-10:23. doi:10.23638/LMCS-17(1:10)2021 apa: Aghajohari, M., Avni, G., & Henzinger, T. A. (2021). Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. International Federation for Computational Logic. https://doi.org/10.23638/LMCS-17(1:10)2021 chicago: Aghajohari, Milad, Guy Avni, and Thomas A Henzinger. “Determinacy in Discrete-Bidding Infinite-Duration Games.” Logical Methods in Computer Science. International Federation for Computational Logic, 2021. https://doi.org/10.23638/LMCS-17(1:10)2021. ieee: M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” Logical Methods in Computer Science, vol. 17, no. 1. International Federation for Computational Logic, p. 10:1-10:23, 2021. ista: Aghajohari M, Avni G, Henzinger TA. 2021. Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. 17(1), 10:1-10:23. mla: Aghajohari, Milad, et al. “Determinacy in Discrete-Bidding Infinite-Duration Games.” Logical Methods in Computer Science, vol. 17, no. 1, International Federation for Computational Logic, 2021, p. 10:1-10:23, doi:10.23638/LMCS-17(1:10)2021. short: M. Aghajohari, G. Avni, T.A. Henzinger, Logical Methods in Computer Science 17 (2021) 10:1-10:23. date_created: 2022-01-25T16:32:13Z date_published: 2021-02-03T00:00:00Z date_updated: 2023-08-17T06:56:42Z day: '03' ddc: - '510' department: - _id: ToHe doi: 10.23638/LMCS-17(1:10)2021 external_id: arxiv: - '1905.03588' isi: - '000658724600010' file: - access_level: open_access checksum: b35586a50ed1ca8f44767de116d18d81 content_type: application/pdf creator: alisjak date_created: 2022-01-26T08:04:50Z date_updated: 2022-01-26T08:04:50Z file_id: '10690' file_name: 2021_LMCS_AGHAJOHAR.pdf file_size: 819878 relation: main_file success: 1 file_date_updated: 2022-01-26T08:04:50Z has_accepted_license: '1' intvolume: ' 17' isi: 1 issue: '1' keyword: - computer science - computer science and game theory - logic in computer science language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 10:1-10:23 project: - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Logical Methods in Computer Science publication_identifier: eissn: - 1860-5974 publication_status: published publisher: International Federation for Computational Logic quality_controlled: '1' scopus_import: '1' status: public title: Determinacy in discrete-bidding infinite-duration games tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 17 year: '2021' ... --- _id: '10666' abstract: - lang: eng text: Adversarial training is an effective method to train deep learning models that are resilient to norm-bounded perturbations, with the cost of nominal performance drop. While adversarial training appears to enhance the robustness and safety of a deep model deployed in open-world decision-critical applications, counterintuitively, it induces undesired behaviors in robot learning settings. In this paper, we show theoretically and experimentally that neural controllers obtained via adversarial training are subjected to three types of defects, namely transient, systematic, and conditional errors. We first generalize adversarial training to a safety-domain optimization scheme allowing for more generic specifications. We then prove that such a learning process tends to cause certain error profiles. We support our theoretical results by a thorough experimental safety analysis in a robot-learning task. Our results suggest that adversarial training is not yet ready for robot learning. acknowledgement: M.L. and T.A.H. are supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). R.H. and D.R. are supported by Boeing and R.G. by Horizon-2020 ECSEL Project grant no. 783163 (iDev40). article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Radu full_name: Grosu, Radu last_name: Grosu - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is not ready for robot learning. In: 2021 IEEE International Conference on Robotics and Automation. ICRA. ; 2021:4140-4147. doi:10.1109/ICRA48506.2021.9561036' apa: Lechner, M., Hasani, R., Grosu, R., Rus, D., & Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561036 chicago: Lechner, Mathias, Ramin Hasani, Radu Grosu, Daniela Rus, and Thomas A Henzinger. “Adversarial Training Is Not Ready for Robot Learning.” In 2021 IEEE International Conference on Robotics and Automation, 4140–47. ICRA, 2021. https://doi.org/10.1109/ICRA48506.2021.9561036. ieee: M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in 2021 IEEE International Conference on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147. ista: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. 2021. Adversarial training is not ready for robot learning. 2021 IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and AutomationICRA, 4140–4147.' mla: Lechner, Mathias, et al. “Adversarial Training Is Not Ready for Robot Learning.” 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–47, doi:10.1109/ICRA48506.2021.9561036. short: M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–4147. conference: end_date: 2021-06-05 location: Xi'an, China name: 'ICRA: International Conference on Robotics and Automation' start_date: 2021-05-30 date_created: 2022-01-25T15:44:54Z date_published: 2021-01-01T00:00:00Z date_updated: 2023-08-17T06:58:38Z ddc: - '000' department: - _id: GradSch - _id: ToHe doi: 10.1109/ICRA48506.2021.9561036 external_id: arxiv: - '2103.08187' isi: - '000765738803040' has_accepted_license: '1' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2103.08187 oa: 1 oa_version: None page: 4140-4147 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 2021 IEEE International Conference on Robotics and Automation publication_identifier: eisbn: - 978-1-7281-9077-8 eissn: - 2577-087X isbn: - 978-1-7281-9078-5 issn: - 1050-4729 publication_status: published quality_controlled: '1' related_material: record: - id: '11362' relation: dissertation_contains status: public series_title: ICRA status: public title: Adversarial training is not ready for robot learning tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '10206' abstract: - lang: eng text: Neural-network classifiers achieve high accuracy when predicting the class of an input that they were trained to identify. Maintaining this accuracy in dynamic environments, where inputs frequently fall outside the fixed set of initially known classes, remains a challenge. The typical approach is to detect inputs from novel classes and retrain the classifier on an augmented dataset. However, not only the classifier but also the detection mechanism needs to adapt in order to distinguish between newly learned and yet unknown input classes. To address this challenge, we introduce an algorithmic framework for active monitoring of a neural network. A monitor wrapped in our framework operates in parallel with the neural network and interacts with a human user via a series of interpretable labeling queries for incremental adaptation. In addition, we propose an adaptive quantitative monitor to improve precision. An experimental evaluation on a diverse set of benchmarks with varying numbers of classes confirms the benefits of our active monitoring framework in dynamic scenarios. acknowledgement: We thank Christoph Lampert and Alex Greengold for fruitful discussions. This research was supported in part by the Simons Institute for the Theory of Computing, the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754411. alternative_title: - LNCS article_processing_charge: No author: - first_name: Anna full_name: Lukina, Anna id: CBA4D1A8-0FE8-11E9-BDE6-07BFE5697425 last_name: Lukina - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Lukina A, Schilling C, Henzinger TA. Into the unknown: active monitoring of neural networks. In: 21st International Conference on Runtime Verification. Vol 12974. Cham: Springer Nature; 2021:42-61. doi:10.1007/978-3-030-88494-9_3' apa: 'Lukina, A., Schilling, C., & Henzinger, T. A. (2021). Into the unknown: active monitoring of neural networks. In 21st International Conference on Runtime Verification (Vol. 12974, pp. 42–61). Cham: Springer Nature. https://doi.org/10.1007/978-3-030-88494-9_3' chicago: 'Lukina, Anna, Christian Schilling, and Thomas A Henzinger. “Into the Unknown: Active Monitoring of Neural Networks.” In 21st International Conference on Runtime Verification, 12974:42–61. Cham: Springer Nature, 2021. https://doi.org/10.1007/978-3-030-88494-9_3.' ieee: 'A. Lukina, C. Schilling, and T. A. Henzinger, “Into the unknown: active monitoring of neural networks,” in 21st International Conference on Runtime Verification, Virtual, 2021, vol. 12974, pp. 42–61.' ista: 'Lukina A, Schilling C, Henzinger TA. 2021. Into the unknown: active monitoring of neural networks. 21st International Conference on Runtime Verification. RV: Runtime Verification, LNCS, vol. 12974, 42–61.' mla: 'Lukina, Anna, et al. “Into the Unknown: Active Monitoring of Neural Networks.” 21st International Conference on Runtime Verification, vol. 12974, Springer Nature, 2021, pp. 42–61, doi:10.1007/978-3-030-88494-9_3.' short: A. Lukina, C. Schilling, T.A. Henzinger, in:, 21st International Conference on Runtime Verification, Springer Nature, Cham, 2021, pp. 42–61. conference: end_date: 2021-10-14 location: Virtual name: 'RV: Runtime Verification' start_date: 2021-10-11 date_created: 2021-10-31T23:01:31Z date_published: 2021-10-06T00:00:00Z date_updated: 2024-01-30T12:06:56Z day: '06' department: - _id: ToHe doi: 10.1007/978-3-030-88494-9_3 ec_funded: 1 external_id: arxiv: - '2009.06429' isi: - '000719383800003' isi: 1 keyword: - monitoring - neural networks - novelty detection language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2009.06429 month: '10' oa: 1 oa_version: Preprint page: 42-61 place: Cham project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 21st International Conference on Runtime Verification publication_identifier: eisbn: - 978-3-030-88494-9 eissn: - 1611-3349 isbn: - 9-783-0308-8493-2 issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13234' relation: extended_version status: public scopus_import: '1' status: public title: 'Into the unknown: active monitoring of neural networks' type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: '12974 ' year: '2021' ... --- _id: '10673' abstract: - lang: eng text: We propose a neural information processing system obtained by re-purposing the function of a biological neural circuit model to govern simulated and real-world control tasks. Inspired by the structure of the nervous system of the soil-worm, C. elegans, we introduce ordinary neural circuits (ONCs), defined as the model of biological neural circuits reparameterized for the control of alternative tasks. We first demonstrate that ONCs realize networks with higher maximum flow compared to arbitrary wired networks. We then learn instances of ONCs to control a series of robotic tasks, including the autonomous parking of a real-world rover robot. For reconfiguration of the purpose of the neural circuit, we adopt a search-based optimization algorithm. Ordinary neural circuits perform on par and, in some cases, significantly surpass the performance of contemporary deep learning models. ONC networks are compact, 77% sparser than their counterpart neural controllers, and their neural dynamics are fully interpretable at the cell-level. acknowledgement: "RH and RG are partially supported by Horizon-2020 ECSEL Project grant No. 783163 (iDev40), Productive 4.0, and ATBMBFW CPS-IoT Ecosystem. ML was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23\r\n(Wittgenstein Award). AA is supported by the National Science Foundation (NSF) Graduate Research Fellowship\r\nProgram. RH and DR are partially supported by The Boeing Company and JP Morgan Chase. This research work is\r\npartially drawn from the PhD dissertation of RH.\r\n" alternative_title: - PMLR article_processing_charge: No author: - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Alexander full_name: Amini, Alexander last_name: Amini - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Hasani R, Lechner M, Amini A, Rus D, Grosu R. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In: Proceedings of the 37th International Conference on Machine Learning. PMLR. ; 2020:4082-4093.' apa: 'Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2020). A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. In Proceedings of the 37th International Conference on Machine Learning (pp. 4082–4093). Virtual.' chicago: 'Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits.” In Proceedings of the 37th International Conference on Machine Learning, 4082–93. PMLR, 2020.' ieee: 'R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, pp. 4082–4093.' ista: 'Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2020. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. Proceedings of the 37th International Conference on Machine Learning. ML: Machine LearningPMLR, PMLR, , 4082–4093.' mla: 'Hasani, Ramin, et al. “A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits.” Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 4082–93.' short: R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 4082–4093. conference: end_date: 2020-07-18 location: Virtual name: 'ML: Machine Learning' start_date: 2020-07-12 date_created: 2022-01-25T15:50:34Z date_published: 2020-01-01T00:00:00Z date_updated: 2022-01-26T11:14:27Z ddc: - '000' department: - _id: GradSch - _id: ToHe file: - access_level: open_access checksum: c9a4a29161777fc1a89ef451c040e3b1 content_type: application/pdf creator: cchlebak date_created: 2022-01-26T11:08:51Z date_updated: 2022-01-26T11:08:51Z file_id: '10691' file_name: 2020_PMLR_Hasani.pdf file_size: 2329798 relation: main_file success: 1 file_date_updated: 2022-01-26T11:08:51Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: http://proceedings.mlr.press/v119/hasani20a.html oa: 1 oa_version: Published Version page: 4082-4093 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 37th International Conference on Machine Learning publication_identifier: issn: - 2640-3498 publication_status: published quality_controlled: '1' scopus_import: '1' series_title: PMLR status: public title: 'A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits' tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2020' ... --- _id: '7348' abstract: - lang: eng text: 'The monitoring of event frequencies can be used to recognize behavioral anomalies, to identify trends, and to deduce or discard hypotheses about the underlying system. For example, the performance of a web server may be monitored based on the ratio of the total count of requests from the least and most active clients. Exact frequency monitoring, however, can be prohibitively expensive; in the above example it would require as many counters as there are clients. In this paper, we propose the efficient probabilistic monitoring of common frequency properties, including the mode (i.e., the most common event) and the median of an event sequence. We define a logic to express composite frequency properties as a combination of atomic frequency properties. Our main contribution is an algorithm that, under suitable probabilistic assumptions, can be used to monitor these important frequency properties with four counters, independent of the number of different events. Our algorithm samples longer and longer subwords of an infinite event sequence. We prove the almost-sure convergence of our algorithm by generalizing ergodic theory from increasing-length prefixes to increasing-length subwords of an infinite sequence. A similar algorithm could be used to learn a connected Markov chain of a given structure from observing its outputs, to arbitrary precision, for a given confidence. ' alternative_title: - LIPIcs article_number: '20' article_processing_charge: No author: - first_name: Thomas full_name: Ferrere, Thomas id: 40960E6E-F248-11E8-B48F-1D18A9856A87 last_name: Ferrere orcid: 0000-0001-5199-3143 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 citation: ama: 'Ferrere T, Henzinger TA, Kragl B. Monitoring event frequencies. In: 28th EACSL Annual Conference on Computer Science Logic. Vol 152. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.CSL.2020.20' apa: 'Ferrere, T., Henzinger, T. A., & Kragl, B. (2020). Monitoring event frequencies. In 28th EACSL Annual Conference on Computer Science Logic (Vol. 152). Barcelona, Spain: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CSL.2020.20' chicago: Ferrere, Thomas, Thomas A Henzinger, and Bernhard Kragl. “Monitoring Event Frequencies.” In 28th EACSL Annual Conference on Computer Science Logic, Vol. 152. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.CSL.2020.20. ieee: T. Ferrere, T. A. Henzinger, and B. Kragl, “Monitoring event frequencies,” in 28th EACSL Annual Conference on Computer Science Logic, Barcelona, Spain, 2020, vol. 152. ista: 'Ferrere T, Henzinger TA, Kragl B. 2020. Monitoring event frequencies. 28th EACSL Annual Conference on Computer Science Logic. CSL: Computer Science Logic, LIPIcs, vol. 152, 20.' mla: Ferrere, Thomas, et al. “Monitoring Event Frequencies.” 28th EACSL Annual Conference on Computer Science Logic, vol. 152, 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.CSL.2020.20. short: T. Ferrere, T.A. Henzinger, B. Kragl, in:, 28th EACSL Annual Conference on Computer Science Logic, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. conference: end_date: 2020-01-16 location: Barcelona, Spain name: 'CSL: Computer Science Logic' start_date: 2020-01-13 date_created: 2020-01-21T11:22:21Z date_published: 2020-01-15T00:00:00Z date_updated: 2021-01-12T08:13:12Z day: '15' ddc: - '000' department: - _id: ToHe doi: 10.4230/LIPIcs.CSL.2020.20 external_id: arxiv: - '1910.06097' file: - access_level: open_access checksum: b9a691d658d075c6369d3304d17fb818 content_type: application/pdf creator: bkragl date_created: 2020-01-21T11:21:04Z date_updated: 2020-07-14T12:47:56Z file_id: '7349' file_name: main.pdf file_size: 617206 relation: main_file file_date_updated: 2020-07-14T12:47:56Z has_accepted_license: '1' intvolume: ' 152' language: - iso: eng month: '01' oa: 1 oa_version: Published Version project: - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 28th EACSL Annual Conference on Computer Science Logic publication_identifier: isbn: - '9783959771320' issn: - 1868-8969 publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: 1 status: public title: Monitoring event frequencies tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 152 year: '2020' ... --- _id: '8572' abstract: - lang: eng text: 'We present the results of the ARCH 2020 friendly competition for formal verification of continuous and hybrid systems with linear continuous dynamics. In its fourth edition, eight tools have been applied to solve eight different benchmark problems in the category for linear continuous dynamics (in alphabetical order): CORA, C2E2, HyDRA, Hylaa, Hylaa-Continuous, JuliaReach, SpaceEx, and XSpeed. This report is a snapshot of the current landscape of tools and the types of benchmarks they are particularly suited for. Due to the diversity of problems, we are not ranking tools, yet the presented results provide one of the most complete assessments of tools for the safety verification of continuous and hybrid systems with linear continuous dynamics up to this date.' acknowledgement: "The authors gratefully acknowledge financial support by the European Commission project\r\njustITSELF under grant number 817629, by the Austrian Science Fund (FWF) under grant\r\nZ211-N23 (Wittgenstein Award), by the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 754411, and by the\r\nScience and Engineering Research Board (SERB) project with file number IMP/2018/000523.\r\nThis material is based upon work supported by the Air Force Office of Scientific Research under\r\naward number FA9550-19-1-0288. Any opinions, finding, and conclusions or recommendations\r\nexpressed in this material are those of the author(s) and do not necessarily reflect the views of\r\nthe United States Air Force." article_processing_charge: No author: - first_name: Matthias full_name: Althoff, Matthias last_name: Althoff - first_name: Stanley full_name: Bak, Stanley last_name: Bak - first_name: Zongnan full_name: Bao, Zongnan last_name: Bao - first_name: Marcelo full_name: Forets, Marcelo last_name: Forets - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Daniel full_name: Freire, Daniel last_name: Freire - first_name: Niklas full_name: Kochdumper, Niklas last_name: Kochdumper - first_name: Yangge full_name: Li, Yangge last_name: Li - first_name: Sayan full_name: Mitra, Sayan last_name: Mitra - first_name: Rajarshi full_name: Ray, Rajarshi last_name: Ray - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 - first_name: Stefan full_name: Schupp, Stefan last_name: Schupp - first_name: Mark full_name: Wetzlinger, Mark last_name: Wetzlinger citation: ama: 'Althoff M, Bak S, Bao Z, et al. ARCH-COMP20 Category Report: Continuous and hybrid systems with linear dynamics. In: EPiC Series in Computing. Vol 74. EasyChair; 2020:16-48. doi:10.29007/7dt2' apa: 'Althoff, M., Bak, S., Bao, Z., Forets, M., Frehse, G., Freire, D., … Wetzlinger, M. (2020). ARCH-COMP20 Category Report: Continuous and hybrid systems with linear dynamics. In EPiC Series in Computing (Vol. 74, pp. 16–48). EasyChair. https://doi.org/10.29007/7dt2' chicago: 'Althoff, Matthias, Stanley Bak, Zongnan Bao, Marcelo Forets, Goran Frehse, Daniel Freire, Niklas Kochdumper, et al. “ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Dynamics.” In EPiC Series in Computing, 74:16–48. EasyChair, 2020. https://doi.org/10.29007/7dt2.' ieee: 'M. Althoff et al., “ARCH-COMP20 Category Report: Continuous and hybrid systems with linear dynamics,” in EPiC Series in Computing, 2020, vol. 74, pp. 16–48.' ista: 'Althoff M, Bak S, Bao Z, Forets M, Frehse G, Freire D, Kochdumper N, Li Y, Mitra S, Ray R, Schilling C, Schupp S, Wetzlinger M. 2020. ARCH-COMP20 Category Report: Continuous and hybrid systems with linear dynamics. EPiC Series in Computing. ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems vol. 74, 16–48.' mla: 'Althoff, Matthias, et al. “ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Dynamics.” EPiC Series in Computing, vol. 74, EasyChair, 2020, pp. 16–48, doi:10.29007/7dt2.' short: M. Althoff, S. Bak, Z. Bao, M. Forets, G. Frehse, D. Freire, N. Kochdumper, Y. Li, S. Mitra, R. Ray, C. Schilling, S. Schupp, M. Wetzlinger, in:, EPiC Series in Computing, EasyChair, 2020, pp. 16–48. conference: end_date: 2020-07-12 name: 'ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems' start_date: 2020-07-12 date_created: 2020-09-26T14:49:43Z date_published: 2020-09-25T00:00:00Z date_updated: 2021-01-12T08:20:06Z day: '25' department: - _id: ToHe doi: 10.29007/7dt2 ec_funded: 1 intvolume: ' 74' language: - iso: eng main_file_link: - open_access: '1' url: https://easychair.org/publications/download/DRpS month: '09' oa: 1 oa_version: Published Version page: 16-48 project: - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: The Wittgenstein Prize - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: EPiC Series in Computing publication_status: published publisher: EasyChair quality_controlled: '1' status: public title: 'ARCH-COMP20 Category Report: Continuous and hybrid systems with linear dynamics' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 74 year: '2020' ... --- _id: '8571' abstract: - lang: eng text: We present the results of a friendly competition for formal verification of continuous and hybrid systems with nonlinear continuous dynamics. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2020. This year, 6 tools Ariadne, CORA, DynIbex, Flow*, Isabelle/HOL, and JuliaReach (in alphabetic order) participated. These tools are applied to solve reachability analysis problems on six benchmark problems, two of them featuring hybrid dynamics. We do not rank the tools based on the results, but show the current status and discover the potential advantages of different tools. acknowledgement: Christian Schilling acknowledges support in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award) and the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 754411. article_processing_charge: No author: - first_name: Luca full_name: Geretti, Luca last_name: Geretti - first_name: Julien full_name: Alexandre Dit Sandretto, Julien last_name: Alexandre Dit Sandretto - first_name: Matthias full_name: Althoff, Matthias last_name: Althoff - first_name: Luis full_name: Benet, Luis last_name: Benet - first_name: Alexandre full_name: Chapoutot, Alexandre last_name: Chapoutot - first_name: Xin full_name: Chen, Xin last_name: Chen - first_name: Pieter full_name: Collins, Pieter last_name: Collins - first_name: Marcelo full_name: Forets, Marcelo last_name: Forets - first_name: Daniel full_name: Freire, Daniel last_name: Freire - first_name: Fabian full_name: Immler, Fabian last_name: Immler - first_name: Niklas full_name: Kochdumper, Niklas last_name: Kochdumper - first_name: David full_name: Sanders, David last_name: Sanders - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: 'Geretti L, Alexandre Dit Sandretto J, Althoff M, et al. ARCH-COMP20 Category Report: Continuous and hybrid systems with nonlinear dynamics. In: EPiC Series in Computing. Vol 74. EasyChair; 2020:49-75. doi:10.29007/zkf6' apa: 'Geretti, L., Alexandre Dit Sandretto, J., Althoff, M., Benet, L., Chapoutot, A., Chen, X., … Schilling, C. (2020). ARCH-COMP20 Category Report: Continuous and hybrid systems with nonlinear dynamics. In EPiC Series in Computing (Vol. 74, pp. 49–75). EasyChair. https://doi.org/10.29007/zkf6' chicago: 'Geretti, Luca, Julien Alexandre Dit Sandretto, Matthias Althoff, Luis Benet, Alexandre Chapoutot, Xin Chen, Pieter Collins, et al. “ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics.” In EPiC Series in Computing, 74:49–75. EasyChair, 2020. https://doi.org/10.29007/zkf6.' ieee: 'L. Geretti et al., “ARCH-COMP20 Category Report: Continuous and hybrid systems with nonlinear dynamics,” in EPiC Series in Computing, 2020, vol. 74, pp. 49–75.' ista: 'Geretti L, Alexandre Dit Sandretto J, Althoff M, Benet L, Chapoutot A, Chen X, Collins P, Forets M, Freire D, Immler F, Kochdumper N, Sanders D, Schilling C. 2020. ARCH-COMP20 Category Report: Continuous and hybrid systems with nonlinear dynamics. EPiC Series in Computing. ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems vol. 74, 49–75.' mla: 'Geretti, Luca, et al. “ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics.” EPiC Series in Computing, vol. 74, EasyChair, 2020, pp. 49–75, doi:10.29007/zkf6.' short: L. Geretti, J. Alexandre Dit Sandretto, M. Althoff, L. Benet, A. Chapoutot, X. Chen, P. Collins, M. Forets, D. Freire, F. Immler, N. Kochdumper, D. Sanders, C. Schilling, in:, EPiC Series in Computing, EasyChair, 2020, pp. 49–75. conference: end_date: 2020-07-12 name: 'ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems' start_date: 2020-07-12 date_created: 2020-09-26T14:41:29Z date_published: 2020-09-25T00:00:00Z date_updated: 2021-01-12T08:20:06Z day: '25' department: - _id: ToHe doi: 10.29007/zkf6 ec_funded: 1 intvolume: ' 74' language: - iso: eng main_file_link: - open_access: '1' url: https://easychair.org/publications/download/nrdD month: '09' oa: 1 oa_version: Published Version page: 49-75 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: EPiC Series in Computing publication_status: published publisher: EasyChair quality_controlled: '1' status: public title: 'ARCH-COMP20 Category Report: Continuous and hybrid systems with nonlinear dynamics' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 74 year: '2020' ... --- _id: '8600' abstract: - lang: eng text: 'A vector addition system with states (VASS) consists of a finite set of states and counters. A transition changes the current state to the next state, and every counter is either incremented, or decremented, or left unchanged. A state and value for each counter is a configuration; and a computation is an infinite sequence of configurations with transitions between successive configurations. A probabilistic VASS consists of a VASS along with a probability distribution over the transitions for each state. Qualitative properties such as state and configuration reachability have been widely studied for VASS. In this work we consider multi-dimensional long-run average objectives for VASS and probabilistic VASS. For a counter, the cost of a configuration is the value of the counter; and the long-run average value of a computation for the counter is the long-run average of the costs of the configurations in the computation. The multi-dimensional long-run average problem given a VASS and a threshold value for each counter, asks whether there is a computation such that for each counter the long-run average value for the counter does not exceed the respective threshold. For probabilistic VASS, instead of the existence of a computation, we consider whether the expected long-run average value for each counter does not exceed the respective threshold. Our main results are as follows: we show that the multi-dimensional long-run average problem (a) is NP-complete for integer-valued VASS; (b) is undecidable for natural-valued VASS (i.e., nonnegative counters); and (c) can be solved in polynomial time for probabilistic integer-valued VASS, and probabilistic natural-valued VASS when all computations are non-terminating.' alternative_title: - LIPIcs article_number: '23' article_processing_charge: No author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Jan full_name: Otop, Jan id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87 last_name: Otop citation: ama: 'Chatterjee K, Henzinger TA, Otop J. Multi-dimensional long-run average problems for vector addition systems with states. In: 31st International Conference on Concurrency Theory. Vol 171. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.CONCUR.2020.23' apa: 'Chatterjee, K., Henzinger, T. A., & Otop, J. (2020). Multi-dimensional long-run average problems for vector addition systems with states. In 31st International Conference on Concurrency Theory (Vol. 171). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2020.23' chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Multi-Dimensional Long-Run Average Problems for Vector Addition Systems with States.” In 31st International Conference on Concurrency Theory, Vol. 171. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.CONCUR.2020.23. ieee: K. Chatterjee, T. A. Henzinger, and J. Otop, “Multi-dimensional long-run average problems for vector addition systems with states,” in 31st International Conference on Concurrency Theory, Virtual, 2020, vol. 171. ista: 'Chatterjee K, Henzinger TA, Otop J. 2020. Multi-dimensional long-run average problems for vector addition systems with states. 31st International Conference on Concurrency Theory. CONCUR: Conference on Concurrency Theory, LIPIcs, vol. 171, 23.' mla: Chatterjee, Krishnendu, et al. “Multi-Dimensional Long-Run Average Problems for Vector Addition Systems with States.” 31st International Conference on Concurrency Theory, vol. 171, 23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.CONCUR.2020.23. short: K. Chatterjee, T.A. Henzinger, J. Otop, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. conference: end_date: 2020-09-04 location: Virtual name: 'CONCUR: Conference on Concurrency Theory' start_date: 2020-09-01 date_created: 2020-10-04T22:01:36Z date_published: 2020-08-06T00:00:00Z date_updated: 2021-01-12T08:20:15Z day: '06' ddc: - '000' department: - _id: KrCh - _id: ToHe doi: 10.4230/LIPIcs.CONCUR.2020.23 external_id: arxiv: - '2007.08917' file: - access_level: open_access checksum: 5039752f644c4b72b9361d21a5e31baf content_type: application/pdf creator: dernst date_created: 2020-10-05T14:04:25Z date_updated: 2020-10-05T14:04:25Z file_id: '8610' file_name: 2020_LIPIcsCONCUR_Chatterjee.pdf file_size: 601231 relation: main_file success: 1 file_date_updated: 2020-10-05T14:04:25Z has_accepted_license: '1' intvolume: ' 171' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 31st International Conference on Concurrency Theory publication_identifier: isbn: - '9783959771603' issn: - '18688969' publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: '1' status: public title: Multi-dimensional long-run average problems for vector addition systems with states tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode name: Creative Commons Attribution 3.0 Unported (CC BY 3.0) short: CC BY (3.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 171 year: '2020' ... --- _id: '8599' abstract: - lang: eng text: A graph game is a two-player zero-sum game in which the players move a token throughout a graph to produce an infinite path, which determines the winner or payoff of the game. In bidding games, both players have budgets, and in each turn, we hold an "auction" (bidding) to determine which player moves the token. In this survey, we consider several bidding mechanisms and study their effect on the properties of the game. Specifically, bidding games, and in particular bidding games of infinite duration, have an intriguing equivalence with random-turn games in which in each turn, the player who moves is chosen randomly. We show how minor changes in the bidding mechanism lead to unexpected differences in the equivalence with random-turn games. acknowledgement: We would like to thank all our collaborators Milad Aghajohari, Ventsislav Chonev, Rasmus Ibsen-Jensen, Ismäel Jecker, Petr Novotný, Josef Tkadlec, and Ðorđe Žikelić; we hope the collaboration was as fun and meaningful for you as it was for us. alternative_title: - LIPIcs article_number: '2' article_processing_charge: No author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Avni G, Henzinger TA. A survey of bidding games on graphs. In: 31st International Conference on Concurrency Theory. Vol 171. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.CONCUR.2020.2' apa: 'Avni, G., & Henzinger, T. A. (2020). A survey of bidding games on graphs. In 31st International Conference on Concurrency Theory (Vol. 171). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2020.2' chicago: Avni, Guy, and Thomas A Henzinger. “A Survey of Bidding Games on Graphs.” In 31st International Conference on Concurrency Theory, Vol. 171. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.CONCUR.2020.2. ieee: G. Avni and T. A. Henzinger, “A survey of bidding games on graphs,” in 31st International Conference on Concurrency Theory, Virtual, 2020, vol. 171. ista: 'Avni G, Henzinger TA. 2020. A survey of bidding games on graphs. 31st International Conference on Concurrency Theory. CONCUR: Conference on Concurrency Theory, LIPIcs, vol. 171, 2.' mla: Avni, Guy, and Thomas A. Henzinger. “A Survey of Bidding Games on Graphs.” 31st International Conference on Concurrency Theory, vol. 171, 2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.CONCUR.2020.2. short: G. Avni, T.A. Henzinger, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. conference: end_date: 2020-09-04 location: Virtual name: 'CONCUR: Conference on Concurrency Theory' start_date: 2020-09-01 date_created: 2020-10-04T22:01:36Z date_published: 2020-08-06T00:00:00Z date_updated: 2021-01-12T08:20:13Z day: '06' ddc: - '000' department: - _id: ToHe doi: 10.4230/LIPIcs.CONCUR.2020.2 file: - access_level: open_access checksum: 8f33b098e73724e0ac817f764d8e1a2d content_type: application/pdf creator: dernst date_created: 2020-10-05T14:13:19Z date_updated: 2020-10-05T14:13:19Z file_id: '8611' file_name: 2020_LIPIcsCONCUR_Avni.pdf file_size: 868510 relation: main_file success: 1 file_date_updated: 2020-10-05T14:13:19Z has_accepted_license: '1' intvolume: ' 171' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 31st International Conference on Concurrency Theory publication_identifier: isbn: - '9783959771603' issn: - '18688969' publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: '1' status: public title: A survey of bidding games on graphs tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode name: Creative Commons Attribution 3.0 Unported (CC BY 3.0) short: CC BY (3.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 171 year: '2020' ... --- _id: '9040' abstract: - lang: eng text: Machine learning and formal methods have complimentary benefits and drawbacks. In this work, we address the controller-design problem with a combination of techniques from both fields. The use of black-box neural networks in deep reinforcement learning (deep RL) poses a challenge for such a combination. Instead of reasoning formally about the output of deep RL, which we call the wizard, we extract from it a decision-tree based model, which we refer to as the magic book. Using the extracted model as an intermediary, we are able to handle problems that are infeasible for either deep RL or formal methods by themselves. First, we suggest, for the first time, a synthesis procedure that is based on a magic book. We synthesize a stand-alone correct-by-design controller that enjoys the favorable performance of RL. Second, we incorporate a magic book in a bounded model checking (BMC) procedure. BMC allows us to find numerous traces of the plant under the control of the wizard, which a user can use to increase the trustworthiness of the wizard and direct further training. acknowledgement: This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). article_processing_charge: No author: - first_name: Par Alizadeh full_name: Alamdari, Par Alizadeh last_name: Alamdari - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Anna full_name: Lukina, Anna id: CBA4D1A8-0FE8-11E9-BDE6-07BFE5697425 last_name: Lukina citation: ama: 'Alamdari PA, Avni G, Henzinger TA, Lukina A. Formal methods with a touch of magic. In: Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design. TU Wien Academic Press; 2020:138-147. doi:10.34727/2020/isbn.978-3-85448-042-6_21' apa: 'Alamdari, P. A., Avni, G., Henzinger, T. A., & Lukina, A. (2020). Formal methods with a touch of magic. In Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design (pp. 138–147). Online Conference: TU Wien Academic Press. https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_21' chicago: Alamdari, Par Alizadeh, Guy Avni, Thomas A Henzinger, and Anna Lukina. “Formal Methods with a Touch of Magic.” In Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, 138–47. TU Wien Academic Press, 2020. https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_21. ieee: P. A. Alamdari, G. Avni, T. A. Henzinger, and A. Lukina, “Formal methods with a touch of magic,” in Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, Online Conference, 2020, pp. 138–147. ista: 'Alamdari PA, Avni G, Henzinger TA, Lukina A. 2020. Formal methods with a touch of magic. Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design. FMCAD: Formal Methods in Computer-Aided Design, 138–147.' mla: Alamdari, Par Alizadeh, et al. “Formal Methods with a Touch of Magic.” Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2020, pp. 138–47, doi:10.34727/2020/isbn.978-3-85448-042-6_21. short: P.A. Alamdari, G. Avni, T.A. Henzinger, A. Lukina, in:, Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2020, pp. 138–147. conference: end_date: 2020-09-24 location: Online Conference name: ' FMCAD: Formal Methods in Computer-Aided Design' start_date: 2020-09-21 date_created: 2021-01-24T23:01:10Z date_published: 2020-09-21T00:00:00Z date_updated: 2021-02-09T09:39:59Z day: '21' ddc: - '000' department: - _id: ToHe doi: 10.34727/2020/isbn.978-3-85448-042-6_21 file: - access_level: open_access checksum: d616d549a0ade78606b16f8a9540820f content_type: application/pdf creator: dernst date_created: 2021-02-09T09:39:02Z date_updated: 2021-02-09T09:39:02Z file_id: '9109' file_name: 2020_FMCAD_Alamdari.pdf file_size: 990999 relation: main_file success: 1 file_date_updated: 2021-02-09T09:39:02Z has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 138-147 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design publication_identifier: eissn: - 2708-7824 isbn: - '9783854480426' publication_status: published publisher: TU Wien Academic Press quality_controlled: '1' scopus_import: '1' status: public title: Formal methods with a touch of magic tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '9632' abstract: - lang: eng text: "Second-order information, in the form of Hessian- or Inverse-Hessian-vector products, is a fundamental tool for solving optimization problems. Recently, there has been significant interest in utilizing this information in the context of deep\r\nneural networks; however, relatively little is known about the quality of existing approximations in this context. Our work examines this question, identifies issues with existing approaches, and proposes a method called WoodFisher to compute a faithful and efficient estimate of the inverse Hessian. Our main application is to neural network compression, where we build on the classic Optimal Brain Damage/Surgeon framework. We demonstrate that WoodFisher significantly outperforms popular state-of-the-art methods for oneshot pruning. Further, even when iterative, gradual pruning is allowed, our method results in a gain in test accuracy over the state-of-the-art approaches, for standard image classification datasets such as ImageNet ILSVRC. We examine how our method can be extended to take into account first-order information, as well as\r\nillustrate its ability to automatically set layer-wise pruning thresholds and perform compression in the limited-data regime. The code is available at the following link, https://github.com/IST-DASLab/WoodFisher." acknowledgement: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). Also, we would like to thank Alexander Shevchenko, Alexandra Peste, and other members of the group for fruitful discussions. article_processing_charge: No author: - first_name: Sidak Pal full_name: Singh, Sidak Pal id: DD138E24-D89D-11E9-9DC0-DEF6E5697425 last_name: Singh - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: Advances in Neural Information Processing Systems. Vol 33. Curran Associates; 2020:18098-18109.' apa: 'Singh, S. P., & Alistarh, D.-A. (2020). WoodFisher: Efficient second-order approximation for neural network compression. In Advances in Neural Information Processing Systems (Vol. 33, pp. 18098–18109). Vancouver, Canada: Curran Associates.' chicago: 'Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.” In Advances in Neural Information Processing Systems, 33:18098–109. Curran Associates, 2020.' ieee: 'S. P. Singh and D.-A. Alistarh, “WoodFisher: Efficient second-order approximation for neural network compression,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 18098–18109.' ista: 'Singh SP, Alistarh D-A. 2020. WoodFisher: Efficient second-order approximation for neural network compression. Advances in Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems vol. 33, 18098–18109.' mla: 'Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, 2020, pp. 18098–109.' short: S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109. conference: end_date: 2020-12-12 location: Vancouver, Canada name: 'NeurIPS: Conference on Neural Information Processing Systems' start_date: 2020-12-06 date_created: 2021-07-04T22:01:26Z date_published: 2020-12-06T00:00:00Z date_updated: 2023-02-23T14:03:06Z day: '06' department: - _id: DaAl - _id: ToHe ec_funded: 1 external_id: arxiv: - '2004.14340' intvolume: ' 33' language: - iso: eng main_file_link: - open_access: '1' url: https://proceedings.neurips.cc/paper/2020/hash/d1ff1ec86b62cd5f3903ff19c3a326b2-Abstract.html month: '12' oa: 1 oa_version: Published Version page: 18098-18109 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: Advances in Neural Information Processing Systems publication_identifier: isbn: - '9781713829546' issn: - '10495258' publication_status: published publisher: Curran Associates quality_controlled: '1' scopus_import: '1' status: public title: 'WoodFisher: Efficient second-order approximation for neural network compression' type: conference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf volume: 33 year: '2020' ... --- _id: '9103' abstract: - lang: eng text: 'We introduce LRT-NG, a set of techniques and an associated toolset that computes a reachtube (an over-approximation of the set of reachable states over a given time horizon) of a nonlinear dynamical system. LRT-NG significantly advances the state-of-the-art Langrangian Reachability and its associated tool LRT. From a theoretical perspective, LRT-NG is superior to LRT in three ways. First, it uses for the first time an analytically computed metric for the propagated ball which is proven to minimize the ball’s volume. We emphasize that the metric computation is the centerpiece of all bloating-based techniques. Secondly, it computes the next reachset as the intersection of two balls: one based on the Cartesian metric and the other on the new metric. While the two metrics were previously considered opposing approaches, their joint use considerably tightens the reachtubes. Thirdly, it avoids the "wrapping effect" associated with the validated integration of the center of the reachset, by optimally absorbing the interval approximation in the radius of the next ball. From a tool-development perspective, LRT-NG is superior to LRT in two ways. First, it is a standalone tool that no longer relies on CAPD. This required the implementation of the Lohner method and a Runge-Kutta time-propagation method. Secondly, it has an improved interface, allowing the input model and initial conditions to be provided as external input files. Our experiments on a comprehensive set of benchmarks, including two Neural ODEs, demonstrates LRT-NG’s superior performance compared to LRT, CAPD, and Flow*.' acknowledgement: "The authors would like to thank Ramin Hasani and Guillaume Berger for intellectual discussions about the research which lead to the generation of new ideas. ML was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). Smolka’s research was supported by NSF grants CPS-1446832 and CCF-1918225. Gruenbacher is funded by FWF project W1255-N23. JC was partially supported by NAWA Polish Returns grant\r\nPPN/PPO/2018/1/00029.\r\n" article_processing_charge: No author: - first_name: Sophie full_name: Gruenbacher, Sophie last_name: Gruenbacher - first_name: Jacek full_name: Cyranka, Jacek last_name: Cyranka - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Md Ariful full_name: Islam, Md Ariful last_name: Islam - first_name: Scott A. full_name: Smolka, Scott A. last_name: Smolka - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Gruenbacher S, Cyranka J, Lechner M, Islam MA, Smolka SA, Grosu R. Lagrangian reachtubes: The next generation. In: Proceedings of the 59th IEEE Conference on Decision and Control. Vol 2020. IEEE; 2020:1556-1563. doi:10.1109/CDC42340.2020.9304042' apa: 'Gruenbacher, S., Cyranka, J., Lechner, M., Islam, M. A., Smolka, S. A., & Grosu, R. (2020). Lagrangian reachtubes: The next generation. In Proceedings of the 59th IEEE Conference on Decision and Control (Vol. 2020, pp. 1556–1563). Jeju Islang, Korea (South): IEEE. https://doi.org/10.1109/CDC42340.2020.9304042' chicago: 'Gruenbacher, Sophie, Jacek Cyranka, Mathias Lechner, Md Ariful Islam, Scott A. Smolka, and Radu Grosu. “Lagrangian Reachtubes: The next Generation.” In Proceedings of the 59th IEEE Conference on Decision and Control, 2020:1556–63. IEEE, 2020. https://doi.org/10.1109/CDC42340.2020.9304042.' ieee: 'S. Gruenbacher, J. Cyranka, M. Lechner, M. A. Islam, S. A. Smolka, and R. Grosu, “Lagrangian reachtubes: The next generation,” in Proceedings of the 59th IEEE Conference on Decision and Control, Jeju Islang, Korea (South), 2020, vol. 2020, pp. 1556–1563.' ista: 'Gruenbacher S, Cyranka J, Lechner M, Islam MA, Smolka SA, Grosu R. 2020. Lagrangian reachtubes: The next generation. Proceedings of the 59th IEEE Conference on Decision and Control. CDC: Conference on Decision and Control vol. 2020, 1556–1563.' mla: 'Gruenbacher, Sophie, et al. “Lagrangian Reachtubes: The next Generation.” Proceedings of the 59th IEEE Conference on Decision and Control, vol. 2020, IEEE, 2020, pp. 1556–63, doi:10.1109/CDC42340.2020.9304042.' short: S. Gruenbacher, J. Cyranka, M. Lechner, M.A. Islam, S.A. Smolka, R. Grosu, in:, Proceedings of the 59th IEEE Conference on Decision and Control, IEEE, 2020, pp. 1556–1563. conference: end_date: 2020-12-18 location: Jeju Islang, Korea (South) name: 'CDC: Conference on Decision and Control' start_date: 2020-12-14 date_created: 2021-02-07T23:01:14Z date_published: 2020-12-14T00:00:00Z date_updated: 2021-02-09T09:20:58Z day: '14' department: - _id: ToHe doi: 10.1109/CDC42340.2020.9304042 external_id: arxiv: - '2012.07458' intvolume: ' 2020' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2012.07458 month: '12' oa: 1 oa_version: Preprint page: 1556-1563 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 59th IEEE Conference on Decision and Control publication_identifier: isbn: - '9781728174471' issn: - '07431546' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: 'Lagrangian reachtubes: The next generation' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2020 year: '2020' ... --- _id: '10672' abstract: - lang: eng text: The family of feedback alignment (FA) algorithms aims to provide a more biologically motivated alternative to backpropagation (BP), by substituting the computations that are unrealistic to be implemented in physical brains. While FA algorithms have been shown to work well in practice, there is a lack of rigorous theory proofing their learning capabilities. Here we introduce the first feedback alignment algorithm with provable learning guarantees. In contrast to existing work, we do not require any assumption about the size or depth of the network except that it has a single output neuron, i.e., such as for binary classification tasks. We show that our FA algorithm can deliver its theoretical promises in practice, surpassing the learning performance of existing FA methods and matching backpropagation in binary classification tasks. Finally, we demonstrate the limits of our FA variant when the number of output neurons grows beyond a certain quantity. acknowledgement: "This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23\r\n(Wittgenstein Award).\r\n" article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner citation: ama: 'Lechner M. Learning representations for binary-classification without backpropagation. In: 8th International Conference on Learning Representations. ICLR; 2020.' apa: 'Lechner, M. (2020). Learning representations for binary-classification without backpropagation. In 8th International Conference on Learning Representations. Virtual ; Addis Ababa, Ethiopia: ICLR.' chicago: Lechner, Mathias. “Learning Representations for Binary-Classification without Backpropagation.” In 8th International Conference on Learning Representations. ICLR, 2020. ieee: M. Lechner, “Learning representations for binary-classification without backpropagation,” in 8th International Conference on Learning Representations, Virtual ; Addis Ababa, Ethiopia, 2020. ista: 'Lechner M. 2020. Learning representations for binary-classification without backpropagation. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.' mla: Lechner, Mathias. “Learning Representations for Binary-Classification without Backpropagation.” 8th International Conference on Learning Representations, ICLR, 2020. short: M. Lechner, in:, 8th International Conference on Learning Representations, ICLR, 2020. conference: end_date: 2020-05-01 location: Virtual ; Addis Ababa, Ethiopia name: 'ICLR: International Conference on Learning Representations' start_date: 2020-04-26 date_created: 2022-01-25T15:50:00Z date_published: 2020-03-11T00:00:00Z date_updated: 2023-04-03T07:33:40Z day: '11' ddc: - '000' department: - _id: GradSch - _id: ToHe file: - access_level: open_access checksum: ea13d42dd4541ddb239b6a75821fd6c9 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:35:17Z date_updated: 2022-01-26T07:35:17Z file_id: '10677' file_name: iclr_2020.pdf file_size: 249431 relation: main_file success: 1 file_date_updated: 2022-01-26T07:35:17Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://openreview.net/forum?id=Bke61krFvS month: '03' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 8th International Conference on Learning Representations publication_status: published publisher: ICLR quality_controlled: '1' scopus_import: '1' status: public title: Learning representations for binary-classification without backpropagation tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '7808' abstract: - lang: eng text: Quantization converts neural networks into low-bit fixed-point computations which can be carried out by efficient integer-only hardware, and is standard practice for the deployment of neural networks on real-time embedded devices. However, like their real-numbered counterpart, quantized networks are not immune to malicious misclassification caused by adversarial attacks. We investigate how quantization affects a network’s robustness to adversarial attacks, which is a formal verification question. We show that neither robustness nor non-robustness are monotonic with changing the number of bits for the representation and, also, neither are preserved by quantization from a real-numbered network. For this reason, we introduce a verification method for quantized neural networks which, using SMT solving over bit-vectors, accounts for their exact, bit-precise semantics. We built a tool and analyzed the effect of quantization on a classifier for the MNIST dataset. We demonstrate that, compared to our method, existing methods for the analysis of real-numbered networks often derive false conclusions about their quantizations, both when determining robustness and when detecting attacks, and that existing methods for quantized networks often miss attacks. Furthermore, we applied our method beyond robustness, showing how the number of bits in quantization enlarges the gender bias of a predictor for students’ grades. alternative_title: - LNCS article_processing_charge: No author: - first_name: Mirco full_name: Giacobbe, Mirco id: 3444EA5E-F248-11E8-B48F-1D18A9856A87 last_name: Giacobbe orcid: 0000-0001-8180-0904 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner citation: ama: 'Giacobbe M, Henzinger TA, Lechner M. How many bits does it take to quantize your neural network? In: International Conference on Tools and Algorithms for the Construction and Analysis of Systems. Vol 12079. Springer Nature; 2020:79-97. doi:10.1007/978-3-030-45237-7_5' apa: 'Giacobbe, M., Henzinger, T. A., & Lechner, M. (2020). How many bits does it take to quantize your neural network? In International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 12079, pp. 79–97). Dublin, Ireland: Springer Nature. https://doi.org/10.1007/978-3-030-45237-7_5' chicago: Giacobbe, Mirco, Thomas A Henzinger, and Mathias Lechner. “How Many Bits Does It Take to Quantize Your Neural Network?” In International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 12079:79–97. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-45237-7_5. ieee: M. Giacobbe, T. A. Henzinger, and M. Lechner, “How many bits does it take to quantize your neural network?,” in International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Dublin, Ireland, 2020, vol. 12079, pp. 79–97. ista: 'Giacobbe M, Henzinger TA, Lechner M. 2020. How many bits does it take to quantize your neural network? International Conference on Tools and Algorithms for the Construction and Analysis of Systems. TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 12079, 79–97.' mla: Giacobbe, Mirco, et al. “How Many Bits Does It Take to Quantize Your Neural Network?” International Conference on Tools and Algorithms for the Construction and Analysis of Systems, vol. 12079, Springer Nature, 2020, pp. 79–97, doi:10.1007/978-3-030-45237-7_5. short: M. Giacobbe, T.A. Henzinger, M. Lechner, in:, International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2020, pp. 79–97. conference: end_date: 2020-04-30 location: Dublin, Ireland name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems' start_date: 2020-04-25 date_created: 2020-05-10T22:00:49Z date_published: 2020-04-17T00:00:00Z date_updated: 2023-06-23T07:01:11Z day: '17' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-030-45237-7_5 file: - access_level: open_access checksum: f19905a42891fe5ce93d69143fa3f6fb content_type: application/pdf creator: dernst date_created: 2020-05-26T12:48:15Z date_updated: 2020-07-14T12:48:03Z file_id: '7893' file_name: 2020_TACAS_Giacobbe.pdf file_size: 2744030 relation: main_file file_date_updated: 2020-07-14T12:48:03Z has_accepted_license: '1' intvolume: ' 12079' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 79-97 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: International Conference on Tools and Algorithms for the Construction and Analysis of Systems publication_identifier: eissn: - '16113349' isbn: - '9783030452360' issn: - '03029743' publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '11362' relation: dissertation_contains status: public scopus_import: 1 status: public title: How many bits does it take to quantize your neural network? tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 12079 year: '2020' ... --- _id: '6761' abstract: - lang: eng text: In resource allocation games, selfish players share resources that are needed in order to fulfill their objectives. The cost of using a resource depends on the load on it. In the traditional setting, the players make their choices concurrently and in one-shot. That is, a strategy for a player is a subset of the resources. We introduce and study dynamic resource allocation games. In this setting, the game proceeds in phases. In each phase each player chooses one resource. A scheduler dictates the order in which the players proceed in a phase, possibly scheduling several players to proceed concurrently. The game ends when each player has collected a set of resources that fulfills his objective. The cost for each player then depends on this set as well as on the load on the resources in it – we consider both congestion and cost-sharing games. We argue that the dynamic setting is the suitable setting for many applications in practice. We study the stability of dynamic resource allocation games, where the appropriate notion of stability is that of subgame perfect equilibrium, study the inefficiency incurred due to selfish behavior, and also study problems that are particular to the dynamic setting, like constraints on the order in which resources can be chosen or the problem of finding a scheduler that achieves stability. article_processing_charge: No article_type: original author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Orna full_name: Kupferman, Orna last_name: Kupferman citation: ama: Avni G, Henzinger TA, Kupferman O. Dynamic resource allocation games. Theoretical Computer Science. 2020;807:42-55. doi:10.1016/j.tcs.2019.06.031 apa: Avni, G., Henzinger, T. A., & Kupferman, O. (2020). Dynamic resource allocation games. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2019.06.031 chicago: Avni, Guy, Thomas A Henzinger, and Orna Kupferman. “Dynamic Resource Allocation Games.” Theoretical Computer Science. Elsevier, 2020. https://doi.org/10.1016/j.tcs.2019.06.031. ieee: G. Avni, T. A. Henzinger, and O. Kupferman, “Dynamic resource allocation games,” Theoretical Computer Science, vol. 807. Elsevier, pp. 42–55, 2020. ista: Avni G, Henzinger TA, Kupferman O. 2020. Dynamic resource allocation games. Theoretical Computer Science. 807, 42–55. mla: Avni, Guy, et al. “Dynamic Resource Allocation Games.” Theoretical Computer Science, vol. 807, Elsevier, 2020, pp. 42–55, doi:10.1016/j.tcs.2019.06.031. short: G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020) 42–55. date_created: 2019-08-04T21:59:20Z date_published: 2020-02-06T00:00:00Z date_updated: 2023-08-17T13:52:49Z day: '06' ddc: - '000' department: - _id: ToHe doi: 10.1016/j.tcs.2019.06.031 external_id: isi: - '000512219400004' file: - access_level: open_access checksum: e86635417f45eb2cd75778f91382f737 content_type: application/pdf creator: dernst date_created: 2020-10-09T06:31:22Z date_updated: 2020-10-09T06:31:22Z file_id: '8639' file_name: 2020_TheoreticalCS_Avni.pdf file_size: 1413001 relation: main_file success: 1 file_date_updated: 2020-10-09T06:31:22Z has_accepted_license: '1' intvolume: ' 807' isi: 1 language: - iso: eng month: '02' oa: 1 oa_version: Submitted Version page: 42-55 project: - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory publication: Theoretical Computer Science publication_identifier: issn: - '03043975' publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '1341' relation: earlier_version status: public scopus_import: '1' status: public title: Dynamic resource allocation games type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 807 year: '2020' ... --- _id: '7505' abstract: - lang: eng text: Neural networks have demonstrated unmatched performance in a range of classification tasks. Despite numerous efforts of the research community, novelty detection remains one of the significant limitations of neural networks. The ability to identify previously unseen inputs as novel is crucial for our understanding of the decisions made by neural networks. At runtime, inputs not falling into any of the categories learned during training cannot be classified correctly by the neural network. Existing approaches treat the neural network as a black box and try to detect novel inputs based on the confidence of the output predictions. However, neural networks are not trained to reduce their confidence for novel inputs, which limits the effectiveness of these approaches. We propose a framework to monitor a neural network by observing the hidden layers. We employ a common abstraction from program analysis - boxes - to identify novel behaviors in the monitored layers, i.e., inputs that cause behaviors outside the box. For each neuron, the boxes range over the values seen in training. The framework is efficient and flexible to achieve a desired trade-off between raising false warnings and detecting novel inputs. We illustrate the performance and the robustness to variability in the unknown classes on popular image-classification benchmarks. acknowledgement: We thank Christoph Lampert and Nikolaus Mayer for fruitful discussions. This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE) and Z211-N23 (Wittgenstein Award) and the European Union’s Horizon 2020 research and innovation programme under the Marie SkłodowskaCurie grant agreement No. 754411. alternative_title: - Frontiers in Artificial Intelligence and Applications article_processing_charge: No author: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Anna full_name: Lukina, Anna id: CBA4D1A8-0FE8-11E9-BDE6-07BFE5697425 last_name: Lukina - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: 'Henzinger TA, Lukina A, Schilling C. Outside the box: Abstraction-based monitoring of neural networks. In: 24th European Conference on Artificial Intelligence. Vol 325. IOS Press; 2020:2433-2440. doi:10.3233/FAIA200375' apa: 'Henzinger, T. A., Lukina, A., & Schilling, C. (2020). Outside the box: Abstraction-based monitoring of neural networks. In 24th European Conference on Artificial Intelligence (Vol. 325, pp. 2433–2440). Santiago de Compostela, Spain: IOS Press. https://doi.org/10.3233/FAIA200375' chicago: 'Henzinger, Thomas A, Anna Lukina, and Christian Schilling. “Outside the Box: Abstraction-Based Monitoring of Neural Networks.” In 24th European Conference on Artificial Intelligence, 325:2433–40. IOS Press, 2020. https://doi.org/10.3233/FAIA200375.' ieee: 'T. A. Henzinger, A. Lukina, and C. Schilling, “Outside the box: Abstraction-based monitoring of neural networks,” in 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 2020, vol. 325, pp. 2433–2440.' ista: 'Henzinger TA, Lukina A, Schilling C. 2020. Outside the box: Abstraction-based monitoring of neural networks. 24th European Conference on Artificial Intelligence. ECAI: European Conference on Artificial Intelligence, Frontiers in Artificial Intelligence and Applications, vol. 325, 2433–2440.' mla: 'Henzinger, Thomas A., et al. “Outside the Box: Abstraction-Based Monitoring of Neural Networks.” 24th European Conference on Artificial Intelligence, vol. 325, IOS Press, 2020, pp. 2433–40, doi:10.3233/FAIA200375.' short: T.A. Henzinger, A. Lukina, C. Schilling, in:, 24th European Conference on Artificial Intelligence, IOS Press, 2020, pp. 2433–2440. conference: end_date: 2020-09-08 location: Santiago de Compostela, Spain name: 'ECAI: European Conference on Artificial Intelligence' start_date: 2020-08-29 date_created: 2020-02-21T16:44:03Z date_published: 2020-02-24T00:00:00Z date_updated: 2023-08-18T06:38:16Z day: '24' ddc: - '000' department: - _id: ToHe doi: 10.3233/FAIA200375 ec_funded: 1 external_id: arxiv: - '1911.09032' isi: - '000650971303002' file: - access_level: open_access checksum: 80642fa0b6cd7da95dcd87d63789ad5e content_type: application/pdf creator: dernst date_created: 2020-09-21T07:12:32Z date_updated: 2020-09-21T07:12:32Z file_id: '8540' file_name: 2020_ECAI_Henzinger.pdf file_size: 1692214 relation: main_file success: 1 file_date_updated: 2020-09-21T07:12:32Z has_accepted_license: '1' intvolume: ' 325' isi: 1 language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 2433-2440 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 24th European Conference on Artificial Intelligence publication_status: published publisher: IOS Press quality_controlled: '1' status: public title: 'Outside the box: Abstraction-based monitoring of neural networks' tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 325 year: '2020' ... --- _id: '8194' abstract: - lang: eng text: 'Fixed-point arithmetic is a popular alternative to floating-point arithmetic on embedded systems. Existing work on the verification of fixed-point programs relies on custom formalizations of fixed-point arithmetic, which makes it hard to compare the described techniques or reuse the implementations. In this paper, we address this issue by proposing and formalizing an SMT theory of fixed-point arithmetic. We present an intuitive yet comprehensive syntax of the fixed-point theory, and provide formal semantics for it based on rational arithmetic. We also describe two decision procedures for this theory: one based on the theory of bit-vectors and the other on the theory of reals. We implement the two decision procedures, and evaluate our implementations using existing mature SMT solvers on a benchmark suite we created. Finally, we perform a case study of using the theory we propose to verify properties of quantized neural networks.' alternative_title: - LNCS article_processing_charge: No author: - first_name: Marek full_name: Baranowski, Marek last_name: Baranowski - first_name: Shaobo full_name: He, Shaobo last_name: He - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Thanh Son full_name: Nguyen, Thanh Son last_name: Nguyen - first_name: Zvonimir full_name: Rakamarić, Zvonimir last_name: Rakamarić citation: ama: 'Baranowski M, He S, Lechner M, Nguyen TS, Rakamarić Z. An SMT theory of fixed-point arithmetic. In: Automated Reasoning. Vol 12166. Springer Nature; 2020:13-31. doi:10.1007/978-3-030-51074-9_2' apa: 'Baranowski, M., He, S., Lechner, M., Nguyen, T. S., & Rakamarić, Z. (2020). An SMT theory of fixed-point arithmetic. In Automated Reasoning (Vol. 12166, pp. 13–31). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-030-51074-9_2' chicago: Baranowski, Marek, Shaobo He, Mathias Lechner, Thanh Son Nguyen, and Zvonimir Rakamarić. “An SMT Theory of Fixed-Point Arithmetic.” In Automated Reasoning, 12166:13–31. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-51074-9_2. ieee: M. Baranowski, S. He, M. Lechner, T. S. Nguyen, and Z. Rakamarić, “An SMT theory of fixed-point arithmetic,” in Automated Reasoning, Paris, France, 2020, vol. 12166, pp. 13–31. ista: 'Baranowski M, He S, Lechner M, Nguyen TS, Rakamarić Z. 2020. An SMT theory of fixed-point arithmetic. Automated Reasoning. IJCAR: International Joint Conference on Automated Reasoning, LNCS, vol. 12166, 13–31.' mla: Baranowski, Marek, et al. “An SMT Theory of Fixed-Point Arithmetic.” Automated Reasoning, vol. 12166, Springer Nature, 2020, pp. 13–31, doi:10.1007/978-3-030-51074-9_2. short: M. Baranowski, S. He, M. Lechner, T.S. Nguyen, Z. Rakamarić, in:, Automated Reasoning, Springer Nature, 2020, pp. 13–31. conference: end_date: 2020-07-04 location: Paris, France name: 'IJCAR: International Joint Conference on Automated Reasoning' start_date: 2020-07-01 date_created: 2020-08-02T22:00:59Z date_published: 2020-06-24T00:00:00Z date_updated: 2023-08-22T08:27:25Z day: '24' department: - _id: ToHe doi: 10.1007/978-3-030-51074-9_2 external_id: isi: - '000884318000002' intvolume: ' 12166' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1007/978-3-030-51074-9_2 month: '06' oa: 1 oa_version: Published Version page: 13-31 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Automated Reasoning publication_identifier: eissn: - '16113349' isbn: - '9783030510732' issn: - '03029743' publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: An SMT theory of fixed-point arithmetic type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 12166 year: '2020' ... --- _id: '8679' abstract: - lang: eng text: A central goal of artificial intelligence in high-stakes decision-making applications is to design a single algorithm that simultaneously expresses generalizability by learning coherent representations of their world and interpretable explanations of its dynamics. Here, we combine brain-inspired neural computation principles and scalable deep learning architectures to design compact neural controllers for task-specific compartments of a full-stack autonomous vehicle control system. We discover that a single algorithm with 19 control neurons, connecting 32 encapsulated input features to outputs by 253 synapses, learns to map high-dimensional inputs into steering commands. This system shows superior generalizability, interpretability and robustness compared with orders-of-magnitude larger black-box learning systems. The obtained neural agents enable high-fidelity autonomy for task-specific parts of a complex autonomous system. article_processing_charge: No article_type: original author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Alexander full_name: Amini, Alexander last_name: Amini - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. 2020;2:642-652. doi:10.1038/s42256-020-00237-3 apa: Lechner, M., Hasani, R., Amini, A., Henzinger, T. A., Rus, D., & Grosu, R. (2020). Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. Springer Nature. https://doi.org/10.1038/s42256-020-00237-3 chicago: Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.” Nature Machine Intelligence. Springer Nature, 2020. https://doi.org/10.1038/s42256-020-00237-3. ieee: M. Lechner, R. Hasani, A. Amini, T. A. Henzinger, D. Rus, and R. Grosu, “Neural circuit policies enabling auditable autonomy,” Nature Machine Intelligence, vol. 2. Springer Nature, pp. 642–652, 2020. ista: Lechner M, Hasani R, Amini A, Henzinger TA, Rus D, Grosu R. 2020. Neural circuit policies enabling auditable autonomy. Nature Machine Intelligence. 2, 642–652. mla: Lechner, Mathias, et al. “Neural Circuit Policies Enabling Auditable Autonomy.” Nature Machine Intelligence, vol. 2, Springer Nature, 2020, pp. 642–52, doi:10.1038/s42256-020-00237-3. short: M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature Machine Intelligence 2 (2020) 642–652. date_created: 2020-10-19T13:46:06Z date_published: 2020-10-01T00:00:00Z date_updated: 2023-08-22T10:36:06Z day: '01' department: - _id: ToHe doi: 10.1038/s42256-020-00237-3 external_id: isi: - '000583337200011' intvolume: ' 2' isi: 1 language: - iso: eng month: '10' oa_version: None page: 642-652 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Nature Machine Intelligence publication_identifier: eissn: - 2522-5839 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/new-deep-learning-models/ scopus_import: '1' status: public title: Neural circuit policies enabling auditable autonomy type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 2 year: '2020' ... --- _id: '8704' abstract: - lang: eng text: Traditional robotic control suits require profound task-specific knowledge for designing, building and testing control software. The rise of Deep Learning has enabled end-to-end solutions to be learned entirely from data, requiring minimal knowledge about the application area. We design a learning scheme to train end-to-end linear dynamical systems (LDS)s by gradient descent in imitation learning robotic domains. We introduce a new regularization loss component together with a learning algorithm that improves the stability of the learned autonomous system, by forcing the eigenvalues of the internal state updates of an LDS to be negative reals. We evaluate our approach on a series of real-life and simulated robotic experiments, in comparison to linear and nonlinear Recurrent Neural Network (RNN) architectures. Our results show that our stabilizing method significantly improves test performance of LDS, enabling such linear models to match the performance of contemporary nonlinear RNN architectures. A video of the obstacle avoidance performance of our method on a mobile robot, in unseen environments, compared to other methods can be viewed at https://youtu.be/mhEsCoNao5E. acknowledgement: M.L. is supported in parts by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). R.H., and R.G. are partially supported by the Horizon-2020 ECSELProject grant No. 783163 (iDev40), and the Austrian Research Promotion Agency (FFG), Project No. 860424. R.H. and D.R. is partially supported by the Boeing Company. alternative_title: - ICRA article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Lechner M, Hasani R, Rus D, Grosu R. Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme. In: Proceedings - IEEE International Conference on Robotics and Automation. IEEE; 2020:5446-5452. doi:10.1109/ICRA40945.2020.9196608' apa: 'Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2020). Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 5446–5452). Paris, France: IEEE. https://doi.org/10.1109/ICRA40945.2020.9196608' chicago: Lechner, Mathias, Ramin Hasani, Daniela Rus, and Radu Grosu. “Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-End Robot Learning Scheme.” In Proceedings - IEEE International Conference on Robotics and Automation, 5446–52. IEEE, 2020. https://doi.org/10.1109/ICRA40945.2020.9196608. ieee: M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme,” in Proceedings - IEEE International Conference on Robotics and Automation, Paris, France, 2020, pp. 5446–5452. ista: 'Lechner M, Hasani R, Rus D, Grosu R. 2020. Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme. Proceedings - IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and Automation, ICRA, , 5446–5452.' mla: Lechner, Mathias, et al. “Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-End Robot Learning Scheme.” Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2020, pp. 5446–52, doi:10.1109/ICRA40945.2020.9196608. short: M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452. conference: end_date: 2020-08-31 location: Paris, France name: 'ICRA: International Conference on Robotics and Automation' start_date: 2020-05-31 date_created: 2020-10-25T23:01:19Z date_published: 2020-05-01T00:00:00Z date_updated: 2023-08-22T10:40:15Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1109/ICRA40945.2020.9196608 external_id: isi: - '000712319503110' file: - access_level: open_access checksum: fccf7b986ac78046918a298cc6849a50 content_type: application/pdf creator: dernst date_created: 2020-11-06T10:58:49Z date_updated: 2020-11-06T10:58:49Z file_id: '8733' file_name: 2020_ICRA_Lechner.pdf file_size: 1070010 relation: main_file success: 1 file_date_updated: 2020-11-06T10:58:49Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '05' oa: 1 oa_version: Submitted Version page: 5446-5452 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings - IEEE International Conference on Robotics and Automation publication_identifier: isbn: - '9781728173955' issn: - '10504729' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2020' ... --- _id: '8750' abstract: - lang: eng text: "Efficiently handling time-triggered and possibly nondeterministic switches\r\nfor hybrid systems reachability is a challenging task. In this paper we present\r\nan approach based on conservative set-based enclosure of the dynamics that can\r\nhandle systems with uncertain parameters and inputs, where the uncertainties\r\nare bound to given intervals. The method is evaluated on the plant model of an\r\nexperimental electro-mechanical braking system with periodic controller. In\r\nthis model, the fast-switching controller dynamics requires simulation time\r\nscales of the order of nanoseconds. Accurate set-based computations for\r\nrelatively large time horizons are known to be expensive. However, by\r\nappropriately decoupling the time variable with respect to the spatial\r\nvariables, and enclosing the uncertain parameters using interval matrix maps\r\nacting on zonotopes, we show that the computation time can be lowered to 5000\r\ntimes faster with respect to previous works. This is a step forward in formal\r\nverification of hybrid systems because reduced run-times allow engineers to\r\nintroduce more expressiveness in their models with a relatively inexpensive\r\ncomputational cost." article_number: '9314994' article_processing_charge: No author: - first_name: Marcelo full_name: Forets, Marcelo last_name: Forets - first_name: Daniel full_name: Freire, Daniel last_name: Freire - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: 'Forets M, Freire D, Schilling C. Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions. In: 18th ACM-IEEE International Conference on Formal Methods and Models for System Design. IEEE; 2020. doi:10.1109/MEMOCODE51338.2020.9314994' apa: 'Forets, M., Freire, D., & Schilling, C. (2020). Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions. In 18th ACM-IEEE International Conference on Formal Methods and Models for System Design. Virtual Conference: IEEE. https://doi.org/10.1109/MEMOCODE51338.2020.9314994' chicago: Forets, Marcelo, Daniel Freire, and Christian Schilling. “Efficient Reachability Analysis of Parametric Linear Hybrid Systems with  Time-Triggered Transitions.” In 18th ACM-IEEE International Conference on Formal Methods and Models for System Design. IEEE, 2020. https://doi.org/10.1109/MEMOCODE51338.2020.9314994. ieee: M. Forets, D. Freire, and C. Schilling, “Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions,” in 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, Virtual Conference, 2020. ista: 'Forets M, Freire D, Schilling C. 2020. Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions. 18th ACM-IEEE International Conference on Formal Methods and Models for System Design. MEMOCODE: Conference on Formal Methods and Models for System Design, 9314994.' mla: Forets, Marcelo, et al. “Efficient Reachability Analysis of Parametric Linear Hybrid Systems with  Time-Triggered Transitions.” 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, 9314994, IEEE, 2020, doi:10.1109/MEMOCODE51338.2020.9314994. short: M. Forets, D. Freire, C. Schilling, in:, 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, IEEE, 2020. conference: end_date: 2020-12-04 location: Virtual Conference name: 'MEMOCODE: Conference on Formal Methods and Models for System Design' start_date: 2020-12-02 date_created: 2020-11-10T07:04:57Z date_published: 2020-12-04T00:00:00Z date_updated: 2023-08-22T12:48:18Z day: '04' department: - _id: ToHe doi: 10.1109/MEMOCODE51338.2020.9314994 ec_funded: 1 external_id: arxiv: - '2006.12325' isi: - '000661920400013' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2006.12325 month: '12' oa: 1 oa_version: Preprint project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: 18th ACM-IEEE International Conference on Formal Methods and Models for System Design publication_identifier: isbn: - '9781728191485' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2020' ... --- _id: '8287' abstract: - lang: eng text: Reachability analysis aims at identifying states reachable by a system within a given time horizon. This task is known to be computationally expensive for linear hybrid systems. Reachability analysis works by iteratively applying continuous and discrete post operators to compute states reachable according to continuous and discrete dynamics, respectively. In this paper, we enhance both of these operators and make sure that most of the involved computations are performed in low-dimensional state space. In particular, we improve the continuous-post operator by performing computations in high-dimensional state space only for time intervals relevant for the subsequent application of the discrete-post operator. Furthermore, the new discrete-post operator performs low-dimensional computations by leveraging the structure of the guard and assignment of a considered transition. We illustrate the potential of our approach on a number of challenging benchmarks. article_processing_charge: No author: - first_name: Sergiy full_name: Bogomolov, Sergiy last_name: Bogomolov - first_name: Marcelo full_name: Forets, Marcelo last_name: Forets - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Kostiantyn full_name: Potomkin, Kostiantyn last_name: Potomkin - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: 'Bogomolov S, Forets M, Frehse G, Potomkin K, Schilling C. Reachability analysis of linear hybrid systems via block decomposition. In: Proceedings of the International Conference on Embedded Software. ; 2020.' apa: Bogomolov, S., Forets, M., Frehse, G., Potomkin, K., & Schilling, C. (2020). Reachability analysis of linear hybrid systems via block decomposition. In Proceedings of the International Conference on Embedded Software. Virtual . chicago: Bogomolov, Sergiy, Marcelo Forets, Goran Frehse, Kostiantyn Potomkin, and Christian Schilling. “Reachability Analysis of Linear Hybrid Systems via Block Decomposition.” In Proceedings of the International Conference on Embedded Software, 2020. ieee: S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “Reachability analysis of linear hybrid systems via block decomposition,” in Proceedings of the International Conference on Embedded Software, Virtual , 2020. ista: 'Bogomolov S, Forets M, Frehse G, Potomkin K, Schilling C. 2020. Reachability analysis of linear hybrid systems via block decomposition. Proceedings of the International Conference on Embedded Software. EMSOFT: International Conference on Embedded Software.' mla: Bogomolov, Sergiy, et al. “Reachability Analysis of Linear Hybrid Systems via Block Decomposition.” Proceedings of the International Conference on Embedded Software, 2020. short: S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, C. Schilling, in:, Proceedings of the International Conference on Embedded Software, 2020. conference: end_date: 2020-09-25 location: 'Virtual ' name: 'EMSOFT: International Conference on Embedded Software' start_date: 2020-09-20 date_created: 2020-08-24T12:56:20Z date_published: 2020-01-01T00:00:00Z date_updated: 2023-08-22T13:27:32Z ddc: - '000' department: - _id: ToHe ec_funded: 1 external_id: arxiv: - '1905.02458' file: - access_level: open_access checksum: d19e97d0f8a3a441dc078ec812297d75 content_type: application/pdf creator: cschilli date_created: 2020-08-24T12:53:15Z date_updated: 2020-08-24T12:53:15Z file_id: '8288' file_name: 2020EMSOFT.pdf file_size: 696384 relation: main_file success: 1 file_date_updated: 2020-08-24T12:53:15Z has_accepted_license: '1' keyword: - reachability - hybrid systems - decomposition language: - iso: eng oa: 1 oa_version: Preprint project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: The Wittgenstein Prize - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Proceedings of the International Conference on Embedded Software publication_status: published quality_controlled: '1' related_material: record: - id: '8790' relation: later_version status: public status: public title: Reachability analysis of linear hybrid systems via block decomposition tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2020' ... --- _id: '8790' abstract: - lang: eng text: Reachability analysis aims at identifying states reachable by a system within a given time horizon. This task is known to be computationally expensive for linear hybrid systems. Reachability analysis works by iteratively applying continuous and discrete post operators to compute states reachable according to continuous and discrete dynamics, respectively. In this article, we enhance both of these operators and make sure that most of the involved computations are performed in low-dimensional state space. In particular, we improve the continuous-post operator by performing computations in high-dimensional state space only for time intervals relevant for the subsequent application of the discrete-post operator. Furthermore, the new discrete-post operator performs low-dimensional computations by leveraging the structure of the guard and assignment of a considered transition. We illustrate the potential of our approach on a number of challenging benchmarks. acknowledgement: 'This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE) and Z211-N23 (Wittgenstein Award), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754411, and the Air Force Office of Scientific Research under award number FA2386-17-1-4065. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force. ' article_processing_charge: No article_type: original author: - first_name: Sergiy full_name: Bogomolov, Sergiy id: 369D9A44-F248-11E8-B48F-1D18A9856A87 last_name: Bogomolov orcid: 0000-0002-0686-0365 - first_name: Marcelo full_name: Forets, Marcelo last_name: Forets - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Kostiantyn full_name: Potomkin, Kostiantyn last_name: Potomkin - first_name: Christian full_name: Schilling, Christian id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87 last_name: Schilling orcid: 0000-0003-3658-1065 citation: ama: Bogomolov S, Forets M, Frehse G, Potomkin K, Schilling C. Reachability analysis of linear hybrid systems via block decomposition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2020;39(11):4018-4029. doi:10.1109/TCAD.2020.3012859 apa: Bogomolov, S., Forets, M., Frehse, G., Potomkin, K., & Schilling, C. (2020). Reachability analysis of linear hybrid systems via block decomposition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. IEEE. https://doi.org/10.1109/TCAD.2020.3012859 chicago: Bogomolov, Sergiy, Marcelo Forets, Goran Frehse, Kostiantyn Potomkin, and Christian Schilling. “Reachability Analysis of Linear Hybrid Systems via Block Decomposition.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. IEEE, 2020. https://doi.org/10.1109/TCAD.2020.3012859. ieee: S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “Reachability analysis of linear hybrid systems via block decomposition,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11. IEEE, pp. 4018–4029, 2020. ista: Bogomolov S, Forets M, Frehse G, Potomkin K, Schilling C. 2020. Reachability analysis of linear hybrid systems via block decomposition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11), 4018–4029. mla: Bogomolov, Sergiy, et al. “Reachability Analysis of Linear Hybrid Systems via Block Decomposition.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, IEEE, 2020, pp. 4018–29, doi:10.1109/TCAD.2020.3012859. short: S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, C. Schilling, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39 (2020) 4018–4029. date_created: 2020-11-22T23:01:25Z date_published: 2020-11-01T00:00:00Z date_updated: 2023-08-22T13:27:33Z day: '01' department: - _id: ToHe doi: 10.1109/TCAD.2020.3012859 ec_funded: 1 external_id: arxiv: - '1905.02458' isi: - '000587712700072' intvolume: ' 39' isi: 1 issue: '11' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1905.02458 month: '11' oa: 1 oa_version: Preprint page: 4018-4029 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication_identifier: eissn: - '19374151' issn: - '02780070' publication_status: published publisher: IEEE quality_controlled: '1' related_material: record: - id: '8287' relation: earlier_version status: public scopus_import: '1' status: public title: Reachability analysis of linear hybrid systems via block decomposition type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 39 year: '2020' ... --- _id: '9197' abstract: - lang: eng text: In this paper we introduce and study all-pay bidding games, a class of two player, zero-sum games on graphs. The game proceeds as follows. We place a token on some vertex in the graph and assign budgets to the two players. Each turn, each player submits a sealed legal bid (non-negative and below their remaining budget), which is deducted from their budget and the highest bidder moves the token onto an adjacent vertex. The game ends once a sink is reached, and Player 1 pays Player 2 the outcome that is associated with the sink. The players attempt to maximize their expected outcome. Our games model settings where effort (of no inherent value) needs to be invested in an ongoing and stateful manner. On the negative side, we show that even in simple games on DAGs, optimal strategies may require a distribution over bids with infinite support. A central quantity in bidding games is the ratio of the players budgets. On the positive side, we show a simple FPTAS for DAGs, that, for each budget ratio, outputs an approximation for the optimal strategy for that ratio. We also implement it, show that it performs well, and suggests interesting properties of these games. Then, given an outcome c, we show an algorithm for finding the necessary and sufficient initial ratio for guaranteeing outcome c with probability 1 and a strategy ensuring such. Finally, while the general case has not previously been studied, solving the specific game in which Player 1 wins iff he wins the first two auctions, has been long stated as an open question, which we solve. acknowledgement: This research was supported by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE), Z211-N23 (Wittgenstein Award), and M 2369-N33 (Meitner fellowship). article_processing_charge: No article_type: original author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Rasmus full_name: Ibsen-Jensen, Rasmus id: 3B699956-F248-11E8-B48F-1D18A9856A87 last_name: Ibsen-Jensen orcid: 0000-0003-4783-0389 - first_name: Josef full_name: Tkadlec, Josef id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87 last_name: Tkadlec orcid: 0000-0002-1097-9684 citation: ama: Avni G, Ibsen-Jensen R, Tkadlec J. All-pay bidding games on graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 2020;34(02):1798-1805. doi:10.1609/aaai.v34i02.5546 apa: 'Avni, G., Ibsen-Jensen, R., & Tkadlec, J. (2020). All-pay bidding games on graphs. Proceedings of the AAAI Conference on Artificial Intelligence. New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i02.5546' chicago: Avni, Guy, Rasmus Ibsen-Jensen, and Josef Tkadlec. “All-Pay Bidding Games on Graphs.” Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2020. https://doi.org/10.1609/aaai.v34i02.5546. ieee: G. Avni, R. Ibsen-Jensen, and J. Tkadlec, “All-pay bidding games on graphs,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 02. Association for the Advancement of Artificial Intelligence, pp. 1798–1805, 2020. ista: Avni G, Ibsen-Jensen R, Tkadlec J. 2020. All-pay bidding games on graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 34(02), 1798–1805. mla: Avni, Guy, et al. “All-Pay Bidding Games on Graphs.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 02, Association for the Advancement of Artificial Intelligence, 2020, pp. 1798–805, doi:10.1609/aaai.v34i02.5546. short: G. Avni, R. Ibsen-Jensen, J. Tkadlec, Proceedings of the AAAI Conference on Artificial Intelligence 34 (2020) 1798–1805. conference: end_date: 2020-02-12 location: New York, NY, United States name: 'AAAI: Conference on Artificial Intelligence' start_date: 2020-02-07 date_created: 2021-02-25T09:05:18Z date_published: 2020-04-03T00:00:00Z date_updated: 2023-09-05T12:40:00Z day: '03' department: - _id: ToHe - _id: KrCh doi: 10.1609/aaai.v34i02.5546 external_id: arxiv: - '1911.08360' intvolume: ' 34' issue: '02' language: - iso: eng month: '04' oa_version: Preprint page: 1798-1805 project: - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - '9781577358350' issn: - 2159-5399 publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' scopus_import: '1' status: public title: All-pay bidding games on graphs type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 34 year: '2020' ... --- _id: '8623' abstract: - lang: eng text: We introduce the monitoring of trace properties under assumptions. An assumption limits the space of possible traces that the monitor may encounter. An assumption may result from knowledge about the system that is being monitored, about the environment, or about another, connected monitor. We define monitorability under assumptions and study its theoretical properties. In particular, we show that for every assumption A, the boolean combinations of properties that are safe or co-safe relative to A are monitorable under A. We give several examples and constructions on how an assumption can make a non-monitorable property monitorable, and how an assumption can make a monitorable property monitorable with fewer resources, such as integer registers. acknowledgement: This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). alternative_title: - LNCS article_processing_charge: No author: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Naci E full_name: Sarac, Naci E id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425 last_name: Sarac citation: ama: 'Henzinger TA, Sarac NE. Monitorability under assumptions. In: Runtime Verification. Vol 12399. Springer Nature; 2020:3-18. doi:10.1007/978-3-030-60508-7_1' apa: 'Henzinger, T. A., & Sarac, N. E. (2020). Monitorability under assumptions. In Runtime Verification (Vol. 12399, pp. 3–18). Los Angeles, CA, United States: Springer Nature. https://doi.org/10.1007/978-3-030-60508-7_1' chicago: Henzinger, Thomas A, and Naci E Sarac. “Monitorability under Assumptions.” In Runtime Verification, 12399:3–18. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-60508-7_1. ieee: T. A. Henzinger and N. E. Sarac, “Monitorability under assumptions,” in Runtime Verification, Los Angeles, CA, United States, 2020, vol. 12399, pp. 3–18. ista: 'Henzinger TA, Sarac NE. 2020. Monitorability under assumptions. Runtime Verification. RV: Runtime Verification, LNCS, vol. 12399, 3–18.' mla: Henzinger, Thomas A., and Naci E. Sarac. “Monitorability under Assumptions.” Runtime Verification, vol. 12399, Springer Nature, 2020, pp. 3–18, doi:10.1007/978-3-030-60508-7_1. short: T.A. Henzinger, N.E. Sarac, in:, Runtime Verification, Springer Nature, 2020, pp. 3–18. conference: end_date: 2020-10-09 location: Los Angeles, CA, United States name: 'RV: Runtime Verification' start_date: 2020-10-06 date_created: 2020-10-07T15:05:37Z date_published: 2020-10-02T00:00:00Z date_updated: 2023-09-05T15:08:26Z day: '02' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-030-60508-7_1 external_id: isi: - '000728160600001' file: - access_level: open_access checksum: 00661f9b7034f52e18bf24fa552b8194 content_type: application/pdf creator: esarac date_created: 2020-10-15T14:28:06Z date_updated: 2020-10-15T14:28:06Z file_id: '8665' file_name: monitorability.pdf file_size: 478148 relation: main_file success: 1 file_date_updated: 2020-10-15T14:28:06Z has_accepted_license: '1' intvolume: ' 12399' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version page: 3-18 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Runtime Verification publication_identifier: eissn: - 1611-3349 isbn: - '9783030605070' - '9783030605087' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Monitorability under assumptions type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 12399 year: '2020' ... --- _id: '8195' abstract: - lang: eng text: This paper presents a foundation for refining concurrent programs with structured control flow. The verification problem is decomposed into subproblems that aid interactive program development, proof reuse, and automation. The formalization in this paper is the basis of a new design and implementation of the Civl verifier. acknowledgement: "Bernhard Kragl and Thomas A. Henzinger were supported by\r\nthe Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award)." alternative_title: - LNCS article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 - first_name: Shaz full_name: Qadeer, Shaz last_name: Qadeer - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 citation: ama: 'Kragl B, Qadeer S, Henzinger TA. Refinement for structured concurrent programs. In: Computer Aided Verification. Vol 12224. Springer Nature; 2020:275-298. doi:10.1007/978-3-030-53288-8_14' apa: Kragl, B., Qadeer, S., & Henzinger, T. A. (2020). Refinement for structured concurrent programs. In Computer Aided Verification (Vol. 12224, pp. 275–298). Springer Nature. https://doi.org/10.1007/978-3-030-53288-8_14 chicago: Kragl, Bernhard, Shaz Qadeer, and Thomas A Henzinger. “Refinement for Structured Concurrent Programs.” In Computer Aided Verification, 12224:275–98. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-53288-8_14. ieee: B. Kragl, S. Qadeer, and T. A. Henzinger, “Refinement for structured concurrent programs,” in Computer Aided Verification, 2020, vol. 12224, pp. 275–298. ista: Kragl B, Qadeer S, Henzinger TA. 2020. Refinement for structured concurrent programs. Computer Aided Verification. , LNCS, vol. 12224, 275–298. mla: Kragl, Bernhard, et al. “Refinement for Structured Concurrent Programs.” Computer Aided Verification, vol. 12224, Springer Nature, 2020, pp. 275–98, doi:10.1007/978-3-030-53288-8_14. short: B. Kragl, S. Qadeer, T.A. Henzinger, in:, Computer Aided Verification, Springer Nature, 2020, pp. 275–298. date_created: 2020-08-03T11:45:35Z date_published: 2020-07-14T00:00:00Z date_updated: 2023-09-07T13:18:00Z day: '14' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-030-53288-8_14 external_id: isi: - '000695276000014' file: - access_level: open_access content_type: application/pdf creator: dernst date_created: 2020-08-06T08:14:54Z date_updated: 2020-08-06T08:14:54Z file_id: '8201' file_name: 2020_LNCS_Kragl.pdf file_size: 804237 relation: main_file success: 1 file_date_updated: 2020-08-06T08:14:54Z has_accepted_license: '1' intvolume: ' 12224' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 275-298 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Computer Aided Verification publication_identifier: eisbn: - '9783030532888' eissn: - 1611-3349 isbn: - '9783030532871' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '8332' relation: dissertation_contains status: public scopus_import: '1' status: public title: Refinement for structured concurrent programs tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 12224 year: '2020' ... --- _id: '8012' abstract: - lang: eng text: Asynchronous programs are notoriously difficult to reason about because they spawn computation tasks which take effect asynchronously in a nondeterministic way. Devising inductive invariants for such programs requires understanding and stating complex relationships between an unbounded number of computation tasks in arbitrarily long executions. In this paper, we introduce inductive sequentialization, a new proof rule that sidesteps this complexity via a sequential reduction, a sequential program that captures every behavior of the original program up to reordering of coarse-grained commutative actions. A sequential reduction of a concurrent program is easy to reason about since it corresponds to a simple execution of the program in an idealized synchronous environment, where processes act in a fixed order and at the same speed. We have implemented and integrated our proof rule in the CIVL verifier, allowing us to provably derive fine-grained implementations of asynchronous programs. We have successfully applied our proof rule to a diverse set of message-passing protocols, including leader election protocols, two-phase commit, and Paxos. article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 - first_name: Constantin full_name: Enea, Constantin last_name: Enea - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Suha Orhun full_name: Mutluergil, Suha Orhun last_name: Mutluergil - first_name: Shaz full_name: Qadeer, Shaz last_name: Qadeer citation: ama: 'Kragl B, Enea C, Henzinger TA, Mutluergil SO, Qadeer S. Inductive sequentialization of asynchronous programs. In: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation. Association for Computing Machinery; 2020:227-242. doi:10.1145/3385412.3385980' apa: 'Kragl, B., Enea, C., Henzinger, T. A., Mutluergil, S. O., & Qadeer, S. (2020). Inductive sequentialization of asynchronous programs. In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 227–242). London, United Kingdom: Association for Computing Machinery. https://doi.org/10.1145/3385412.3385980' chicago: Kragl, Bernhard, Constantin Enea, Thomas A Henzinger, Suha Orhun Mutluergil, and Shaz Qadeer. “Inductive Sequentialization of Asynchronous Programs.” In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, 227–42. Association for Computing Machinery, 2020. https://doi.org/10.1145/3385412.3385980. ieee: B. Kragl, C. Enea, T. A. Henzinger, S. O. Mutluergil, and S. Qadeer, “Inductive sequentialization of asynchronous programs,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, United Kingdom, 2020, pp. 227–242. ista: 'Kragl B, Enea C, Henzinger TA, Mutluergil SO, Qadeer S. 2020. Inductive sequentialization of asynchronous programs. Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation. PLDI: Programming Language Design and Implementation, 227–242.' mla: Kragl, Bernhard, et al. “Inductive Sequentialization of Asynchronous Programs.” Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2020, pp. 227–42, doi:10.1145/3385412.3385980. short: B. Kragl, C. Enea, T.A. Henzinger, S.O. Mutluergil, S. Qadeer, in:, Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2020, pp. 227–242. conference: end_date: 2020-06-20 location: London, United Kingdom name: 'PLDI: Programming Language Design and Implementation' start_date: 2020-06-15 date_created: 2020-06-25T11:40:16Z date_published: 2020-06-01T00:00:00Z date_updated: 2023-09-07T13:18:00Z day: '01' department: - _id: ToHe doi: 10.1145/3385412.3385980 external_id: isi: - '000614622300016' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1145/3385412.3385980 month: '06' oa: 1 oa_version: Published Version page: 227-242 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation publication_identifier: isbn: - '9781450376136' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' related_material: record: - id: '8332' relation: dissertation_contains status: public scopus_import: '1' status: public title: Inductive sequentialization of asynchronous programs type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2020' ... --- _id: '10861' abstract: - lang: eng text: We introduce in this paper AMT2.0, a tool for qualitative and quantitative analysis of hybrid continuous and Boolean signals that combine numerical values and discrete events. The evaluation of the signals is based on rich temporal specifications expressed in extended signal temporal logic, which integrates timed regular expressions within signal temporal logic. The tool features qualitative monitoring (property satisfaction checking), trace diagnostics for explaining and justifying property violations and specification-driven measurement of quantitative features of the signal. We demonstrate the tool functionality on several running examples and case studies, and evaluate its performance. article_processing_charge: No article_type: original author: - first_name: Dejan full_name: Nickovic, Dejan id: 41BCEE5C-F248-11E8-B48F-1D18A9856A87 last_name: Nickovic - first_name: Olivier full_name: Lebeltel, Olivier last_name: Lebeltel - first_name: Oded full_name: Maler, Oded last_name: Maler - first_name: Thomas full_name: Ferrere, Thomas id: 40960E6E-F248-11E8-B48F-1D18A9856A87 last_name: Ferrere orcid: 0000-0001-5199-3143 - first_name: Dogan full_name: Ulus, Dogan last_name: Ulus citation: ama: 'Nickovic D, Lebeltel O, Maler O, Ferrere T, Ulus D. AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. 2020;22(6):741-758. doi:10.1007/s10009-020-00582-z' apa: 'Nickovic, D., Lebeltel, O., Maler, O., Ferrere, T., & Ulus, D. (2020). AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. Springer Nature. https://doi.org/10.1007/s10009-020-00582-z' chicago: 'Nickovic, Dejan, Olivier Lebeltel, Oded Maler, Thomas Ferrere, and Dogan Ulus. “AMT 2.0: Qualitative and Quantitative Trace Analysis with Extended Signal Temporal Logic.” International Journal on Software Tools for Technology Transfer. Springer Nature, 2020. https://doi.org/10.1007/s10009-020-00582-z.' ieee: 'D. Nickovic, O. Lebeltel, O. Maler, T. Ferrere, and D. Ulus, “AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic,” International Journal on Software Tools for Technology Transfer, vol. 22, no. 6. Springer Nature, pp. 741–758, 2020.' ista: 'Nickovic D, Lebeltel O, Maler O, Ferrere T, Ulus D. 2020. AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. 22(6), 741–758.' mla: 'Nickovic, Dejan, et al. “AMT 2.0: Qualitative and Quantitative Trace Analysis with Extended Signal Temporal Logic.” International Journal on Software Tools for Technology Transfer, vol. 22, no. 6, Springer Nature, 2020, pp. 741–58, doi:10.1007/s10009-020-00582-z.' short: D. Nickovic, O. Lebeltel, O. Maler, T. Ferrere, D. Ulus, International Journal on Software Tools for Technology Transfer 22 (2020) 741–758. date_created: 2022-03-18T10:10:53Z date_published: 2020-08-03T00:00:00Z date_updated: 2023-09-08T11:52:02Z day: '03' department: - _id: ToHe doi: 10.1007/s10009-020-00582-z external_id: isi: - '000555398600001' intvolume: ' 22' isi: 1 issue: '6' keyword: - Information Systems - Software language: - iso: eng month: '08' oa_version: None page: 741-758 publication: International Journal on Software Tools for Technology Transfer publication_identifier: eissn: - 1433-2787 issn: - 1433-2779 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '299' relation: earlier_version status: public scopus_import: '1' status: public title: 'AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic' type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 22 year: '2020' ... --- _id: '8332' abstract: - lang: eng text: "Designing and verifying concurrent programs is a notoriously challenging, time consuming, and error prone task, even for experts. This is due to the sheer number of possible interleavings of a concurrent program, all of which have to be tracked and accounted for in a formal proof. Inventing an inductive invariant that captures all interleavings of a low-level implementation is theoretically possible, but practically intractable. We develop a refinement-based verification framework that provides mechanisms to simplify proof construction by decomposing the verification task into smaller subtasks.\r\n\r\nIn a first line of work, we present a foundation for refinement reasoning over structured concurrent programs. We introduce layered concurrent programs as a compact notation to represent multi-layer refinement proofs. A layered concurrent program specifies a sequence of connected concurrent programs, from most concrete to most abstract, such that common parts of different programs are written exactly once. Each program in this sequence is expressed as structured concurrent program, i.e., a program over (potentially recursive) procedures, imperative control flow, gated atomic actions, structured parallelism, and asynchronous concurrency. This is in contrast to existing refinement-based verifiers, which represent concurrent systems as flat transition relations. We present a powerful refinement proof rule that decomposes refinement checking over structured programs into modular verification conditions. Refinement checking is supported by a new form of modular, parameterized invariants, called yield invariants, and a linear permission system to enhance local reasoning.\r\n\r\nIn a second line of work, we present two new reduction-based program transformations that target asynchronous programs. These transformations reduce the number of interleavings that need to be considered, thus reducing the complexity of invariants. Synchronization simplifies the verification of asynchronous programs by introducing the fiction, for proof purposes, that asynchronous operations complete synchronously. Synchronization summarizes an asynchronous computation as immediate atomic effect. Inductive sequentialization establishes sequential reductions that captures every behavior of the original program up to reordering of coarse-grained commutative actions. A sequential reduction of a concurrent program is easy to reason about since it corresponds to a simple execution of the program in an idealized synchronous environment, where processes act in a fixed order and at the same speed.\r\n\r\nOur approach is implemented the CIVL verifier, which has been successfully used for the verification of several complex concurrent programs. In our methodology, the overall correctness of a program is established piecemeal by focusing on the invariant required for each refinement step separately. While the programmer does the creative work of specifying the chain of programs and the inductive invariant justifying each link in the chain, the tool automatically constructs the verification conditions underlying each refinement step." alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 citation: ama: 'Kragl B. Verifying concurrent programs: Refinement, synchronization, sequentialization. 2020. doi:10.15479/AT:ISTA:8332' apa: 'Kragl, B. (2020). Verifying concurrent programs: Refinement, synchronization, sequentialization. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8332' chicago: 'Kragl, Bernhard. “Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8332.' ieee: 'B. Kragl, “Verifying concurrent programs: Refinement, synchronization, sequentialization,” Institute of Science and Technology Austria, 2020.' ista: 'Kragl B. 2020. Verifying concurrent programs: Refinement, synchronization, sequentialization. Institute of Science and Technology Austria.' mla: 'Kragl, Bernhard. Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8332.' short: 'B. Kragl, Verifying Concurrent Programs: Refinement, Synchronization, Sequentialization, Institute of Science and Technology Austria, 2020.' date_created: 2020-09-04T12:24:12Z date_published: 2020-09-03T00:00:00Z date_updated: 2023-09-13T08:45:08Z day: '03' ddc: - '000' degree_awarded: PhD department: - _id: ToHe doi: 10.15479/AT:ISTA:8332 file: - access_level: open_access checksum: 26fe261550f691280bda4c454bf015c7 content_type: application/pdf creator: bkragl date_created: 2020-09-04T12:17:47Z date_updated: 2020-09-04T12:17:47Z file_id: '8333' file_name: kragl-thesis.pdf file_size: 1348815 relation: main_file - access_level: closed checksum: b9694ce092b7c55557122adba8337ebc content_type: application/zip creator: bkragl date_created: 2020-09-04T13:00:17Z date_updated: 2020-09-04T13:00:17Z file_id: '8335' file_name: kragl-thesis.zip file_size: 372312 relation: source_file file_date_updated: 2020-09-04T13:00:17Z has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: '120' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '133' relation: part_of_dissertation status: public - id: '8012' relation: part_of_dissertation status: public - id: '8195' relation: part_of_dissertation status: public - id: '160' relation: part_of_dissertation status: public status: public supervisor: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 title: 'Verifying concurrent programs: Refinement, synchronization, sequentialization' type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2020' ... --- _id: '9202' abstract: - lang: eng text: We propose a novel hybridization method for stability analysis that over-approximates nonlinear dynamical systems by switched systems with linear inclusion dynamics. We observe that existing hybridization techniques for safety analysis that over-approximate nonlinear dynamical systems by switched affine inclusion dynamics and provide fixed approximation error, do not suffice for stability analysis. Hence, we propose a hybridization method that provides a state-dependent error which converges to zero as the state tends to the equilibrium point. The crux of our hybridization computation is an elegant recursive algorithm that uses partial derivatives of a given function to obtain upper and lower bound matrices for the over-approximating linear inclusion. We illustrate our method on some examples to demonstrate the application of the theory for stability analysis. In particular, our method is able to establish stability of a nonlinear system which does not admit a polynomial Lyapunov function. acknowledgement: Miriam Garc´ıa Soto was partially supported by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). Pavithra Prabhakar was partially supported by NSF CAREER Award No. 1552668, NSF Award No. 2008957 and ONR YIP Award No. N000141712577. article_processing_charge: No author: - first_name: Miriam full_name: Garcia Soto, Miriam id: 4B3207F6-F248-11E8-B48F-1D18A9856A87 last_name: Garcia Soto orcid: 0000-0003-2936-5719 - first_name: Pavithra full_name: Prabhakar, Pavithra last_name: Prabhakar citation: ama: 'Garcia Soto M, Prabhakar P. Hybridization for stability verification of nonlinear switched systems. In: 2020 IEEE Real-Time Systems Symposium. IEEE; 2020:244-256. doi:10.1109/RTSS49844.2020.00031' apa: 'Garcia Soto, M., & Prabhakar, P. (2020). Hybridization for stability verification of nonlinear switched systems. In 2020 IEEE Real-Time Systems Symposium (pp. 244–256). Houston, TX, USA : IEEE. https://doi.org/10.1109/RTSS49844.2020.00031' chicago: Garcia Soto, Miriam, and Pavithra Prabhakar. “Hybridization for Stability Verification of Nonlinear Switched Systems.” In 2020 IEEE Real-Time Systems Symposium, 244–56. IEEE, 2020. https://doi.org/10.1109/RTSS49844.2020.00031. ieee: M. Garcia Soto and P. Prabhakar, “Hybridization for stability verification of nonlinear switched systems,” in 2020 IEEE Real-Time Systems Symposium, Houston, TX, USA , 2020, pp. 244–256. ista: 'Garcia Soto M, Prabhakar P. 2020. Hybridization for stability verification of nonlinear switched systems. 2020 IEEE Real-Time Systems Symposium. RTTS: Real-Time Systems Symposium, 244–256.' mla: Garcia Soto, Miriam, and Pavithra Prabhakar. “Hybridization for Stability Verification of Nonlinear Switched Systems.” 2020 IEEE Real-Time Systems Symposium, IEEE, 2020, pp. 244–56, doi:10.1109/RTSS49844.2020.00031. short: M. Garcia Soto, P. Prabhakar, in:, 2020 IEEE Real-Time Systems Symposium, IEEE, 2020, pp. 244–256. conference: end_date: 2020-12-04 location: 'Houston, TX, USA ' name: 'RTTS: Real-Time Systems Symposium' start_date: 2020-12-01 date_created: 2021-02-26T16:38:24Z date_published: 2020-12-01T00:00:00Z date_updated: 2024-02-22T13:25:19Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1109/RTSS49844.2020.00031 external_id: isi: - '000680435100021' file: - access_level: open_access checksum: 8f97f229316c3b3a6f0cf99297aa0941 content_type: application/pdf creator: mgarcias date_created: 2021-02-26T16:38:14Z date_updated: 2021-02-26T16:38:14Z file_id: '9203' file_name: main.pdf file_size: 1125794 relation: main_file file_date_updated: 2021-02-26T16:38:14Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Submitted Version page: 244-256 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 2020 IEEE Real-Time Systems Symposium publication_identifier: eisbn: - '9781728183244' eissn: - 2576-3172 publication_status: published publisher: IEEE quality_controlled: '1' status: public title: Hybridization for stability verification of nonlinear switched systems type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '7426' abstract: - lang: eng text: This paper presents a novel abstraction technique for analyzing Lyapunov and asymptotic stability of polyhedral switched systems. A polyhedral switched system is a hybrid system in which the continuous dynamics is specified by polyhedral differential inclusions, the invariants and guards are specified by polyhedral sets and the switching between the modes do not involve reset of variables. A finite state weighted graph abstracting the polyhedral switched system is constructed from a finite partition of the state–space, such that the satisfaction of certain graph conditions, such as the absence of cycles with product of weights on the edges greater than (or equal) to 1, implies the stability of the system. However, the graph is in general conservative and hence, the violation of the graph conditions does not imply instability. If the analysis fails to establish stability due to the conservativeness in the approximation, a counterexample (cycle with product of edge weights greater than or equal to 1) indicating a potential reason for the failure is returned. Further, a more precise approximation of the switched system can be constructed by considering a finer partition of the state–space in the construction of the finite weighted graph. We present experimental results on analyzing stability of switched systems using the above method. article_number: '100856' article_processing_charge: No article_type: original author: - first_name: Miriam full_name: Garcia Soto, Miriam id: 4B3207F6-F248-11E8-B48F-1D18A9856A87 last_name: Garcia Soto orcid: 0000−0003−2936−5719 - first_name: Pavithra full_name: Prabhakar, Pavithra last_name: Prabhakar citation: ama: 'Garcia Soto M, Prabhakar P. Abstraction based verification of stability of polyhedral switched systems. Nonlinear Analysis: Hybrid Systems. 2020;36(5). doi:10.1016/j.nahs.2020.100856' apa: 'Garcia Soto, M., & Prabhakar, P. (2020). Abstraction based verification of stability of polyhedral switched systems. Nonlinear Analysis: Hybrid Systems. Elsevier. https://doi.org/10.1016/j.nahs.2020.100856' chicago: 'Garcia Soto, Miriam, and Pavithra Prabhakar. “Abstraction Based Verification of Stability of Polyhedral Switched Systems.” Nonlinear Analysis: Hybrid Systems. Elsevier, 2020. https://doi.org/10.1016/j.nahs.2020.100856.' ieee: 'M. Garcia Soto and P. Prabhakar, “Abstraction based verification of stability of polyhedral switched systems,” Nonlinear Analysis: Hybrid Systems, vol. 36, no. 5. Elsevier, 2020.' ista: 'Garcia Soto M, Prabhakar P. 2020. Abstraction based verification of stability of polyhedral switched systems. Nonlinear Analysis: Hybrid Systems. 36(5), 100856.' mla: 'Garcia Soto, Miriam, and Pavithra Prabhakar. “Abstraction Based Verification of Stability of Polyhedral Switched Systems.” Nonlinear Analysis: Hybrid Systems, vol. 36, no. 5, 100856, Elsevier, 2020, doi:10.1016/j.nahs.2020.100856.' short: 'M. Garcia Soto, P. Prabhakar, Nonlinear Analysis: Hybrid Systems 36 (2020).' date_created: 2020-02-02T23:00:59Z date_published: 2020-05-01T00:00:00Z date_updated: 2023-08-17T14:32:54Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1016/j.nahs.2020.100856 external_id: isi: - '000528828600003' file: - access_level: open_access checksum: 560abfddb53f9fe921b6744f59f2cfaa content_type: application/pdf creator: dernst date_created: 2020-10-21T13:16:45Z date_updated: 2022-05-16T22:30:04Z embargo: 2022-05-15 file_id: '8688' file_name: 2020_NAHS_GarciaSoto.pdf file_size: 818774 relation: main_file file_date_updated: 2022-05-16T22:30:04Z has_accepted_license: '1' intvolume: ' 36' isi: 1 issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Submitted Version project: - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 'Nonlinear Analysis: Hybrid Systems' publication_identifier: issn: - 1751-570X publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Abstraction based verification of stability of polyhedral switched systems tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 36 year: '2020' ... --- _id: '10877' abstract: - lang: eng text: 'This report presents the results of a friendly competition for formal verification of continuous and hybrid systems with piecewise constant dynamics. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2019. In this third edition, six tools have been applied to solve five different benchmark problems in the category for piecewise constant dynamics: BACH, Lyse, Hy- COMP, PHAVer/SX, PHAVerLite, and VeriSiMPL. Compared to last year, a new tool has participated (HyCOMP) and PHAVerLite has replaced PHAVer-lite. The result is a snap- shot of the current landscape of tools and the types of benchmarks they are particularly suited for. Due to the diversity of problems, we are not ranking tools, yet the presented results probably provide the most complete assessment of tools for the safety verification of continuous and hybrid systems with piecewise constant dynamics up to this date.' acknowledgement: "The authors gratefully acknowledge \fnancial support by the European Commission project\r\nUnCoVerCPS under grant number 643921. Lei Bu is supported by the National Natural Science\r\nFoundation of China (No.61572249)." alternative_title: - EPiC Series in Computing article_processing_charge: No author: - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Alessandro full_name: Abate, Alessandro last_name: Abate - first_name: Dieky full_name: Adzkiya, Dieky last_name: Adzkiya - first_name: Anna full_name: Becchi, Anna last_name: Becchi - first_name: Lei full_name: Bu, Lei last_name: Bu - first_name: Alessandro full_name: Cimatti, Alessandro last_name: Cimatti - first_name: Mirco full_name: Giacobbe, Mirco id: 3444EA5E-F248-11E8-B48F-1D18A9856A87 last_name: Giacobbe orcid: 0000-0001-8180-0904 - first_name: Alberto full_name: Griggio, Alberto last_name: Griggio - first_name: Sergio full_name: Mover, Sergio last_name: Mover - first_name: Muhammad Syifa'ul full_name: Mufid, Muhammad Syifa'ul last_name: Mufid - first_name: Idriss full_name: Riouak, Idriss last_name: Riouak - first_name: Stefano full_name: Tonetta, Stefano last_name: Tonetta - first_name: Enea full_name: Zaffanella, Enea last_name: Zaffanella citation: ama: 'Frehse G, Abate A, Adzkiya D, et al. ARCH-COMP19 Category Report: Hybrid systems with piecewise constant dynamics. In: Frehse G, Althoff M, eds. ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems. Vol 61. EasyChair; 2019:1-13. doi:10.29007/rjwn' apa: 'Frehse, G., Abate, A., Adzkiya, D., Becchi, A., Bu, L., Cimatti, A., … Zaffanella, E. (2019). ARCH-COMP19 Category Report: Hybrid systems with piecewise constant dynamics. In G. Frehse & M. Althoff (Eds.), ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems (Vol. 61, pp. 1–13). Montreal, Canada: EasyChair. https://doi.org/10.29007/rjwn' chicago: 'Frehse, Goran, Alessandro Abate, Dieky Adzkiya, Anna Becchi, Lei Bu, Alessandro Cimatti, Mirco Giacobbe, et al. “ARCH-COMP19 Category Report: Hybrid Systems with Piecewise Constant Dynamics.” In ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, edited by Goran Frehse and Matthias Althoff, 61:1–13. EasyChair, 2019. https://doi.org/10.29007/rjwn.' ieee: 'G. Frehse et al., “ARCH-COMP19 Category Report: Hybrid systems with piecewise constant dynamics,” in ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, Montreal, Canada, 2019, vol. 61, pp. 1–13.' ista: 'Frehse G, Abate A, Adzkiya D, Becchi A, Bu L, Cimatti A, Giacobbe M, Griggio A, Mover S, Mufid MS, Riouak I, Tonetta S, Zaffanella E. 2019. ARCH-COMP19 Category Report: Hybrid systems with piecewise constant dynamics. ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems. ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems, EPiC Series in Computing, vol. 61, 1–13.' mla: 'Frehse, Goran, et al. “ARCH-COMP19 Category Report: Hybrid Systems with Piecewise Constant Dynamics.” ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, edited by Goran Frehse and Matthias Althoff, vol. 61, EasyChair, 2019, pp. 1–13, doi:10.29007/rjwn.' short: G. Frehse, A. Abate, D. Adzkiya, A. Becchi, L. Bu, A. Cimatti, M. Giacobbe, A. Griggio, S. Mover, M.S. Mufid, I. Riouak, S. Tonetta, E. Zaffanella, in:, G. Frehse, M. Althoff (Eds.), ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, EasyChair, 2019, pp. 1–13. conference: end_date: 2019-04-15 location: Montreal, Canada name: 'ARCH: International Workshop on Applied Verification on Continuous and Hybrid Systems' start_date: 2019-04-15 date_created: 2022-03-18T12:29:23Z date_published: 2019-05-25T00:00:00Z date_updated: 2022-05-17T07:09:47Z day: '25' ddc: - '000' department: - _id: ToHe doi: 10.29007/rjwn editor: - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Matthias full_name: Althoff, Matthias last_name: Althoff file: - access_level: open_access checksum: 4b92e333db7b4e2349501a804dfede69 content_type: application/pdf creator: dernst date_created: 2022-05-17T06:55:49Z date_updated: 2022-05-17T06:55:49Z file_id: '11391' file_name: 2019_EPiCs_Frehse.pdf file_size: 346415 relation: main_file success: 1 file_date_updated: 2022-05-17T06:55:49Z has_accepted_license: '1' intvolume: ' 61' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: 1-13 publication: ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems publication_identifier: issn: - 2398-7340 publication_status: published publisher: EasyChair quality_controlled: '1' scopus_import: '1' status: public title: 'ARCH-COMP19 Category Report: Hybrid systems with piecewise constant dynamics' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 61 year: '2019' ... --- _id: '6565' abstract: - lang: eng text: In this paper, we address the problem of synthesizing periodic switching controllers for stabilizing a family of linear systems. Our broad approach consists of constructing a finite game graph based on the family of linear systems such that every winning strategy on the game graph corresponds to a stabilizing switching controller for the family of linear systems. The construction of a (finite) game graph, the synthesis of a winning strategy and the extraction of a stabilizing controller are all computationally feasible. We illustrate our method on an example. article_number: '8715598' article_processing_charge: No author: - first_name: Atreyee full_name: Kundu, Atreyee last_name: Kundu - first_name: Miriam full_name: Garcia Soto, Miriam id: 4B3207F6-F248-11E8-B48F-1D18A9856A87 last_name: Garcia Soto orcid: 0000−0003−2936−5719 - first_name: Pavithra full_name: Prabhakar, Pavithra last_name: Prabhakar citation: ama: 'Kundu A, Garcia Soto M, Prabhakar P. Formal synthesis of stabilizing controllers for periodically controlled linear switched systems. In: 5th Indian Control Conference Proceedings. IEEE; 2019. doi:10.1109/INDIANCC.2019.8715598' apa: 'Kundu, A., Garcia Soto, M., & Prabhakar, P. (2019). Formal synthesis of stabilizing controllers for periodically controlled linear switched systems. In 5th Indian Control Conference Proceedings. Delhi, India: IEEE. https://doi.org/10.1109/INDIANCC.2019.8715598' chicago: Kundu, Atreyee, Miriam Garcia Soto, and Pavithra Prabhakar. “Formal Synthesis of Stabilizing Controllers for Periodically Controlled Linear Switched Systems.” In 5th Indian Control Conference Proceedings. IEEE, 2019. https://doi.org/10.1109/INDIANCC.2019.8715598. ieee: A. Kundu, M. Garcia Soto, and P. Prabhakar, “Formal synthesis of stabilizing controllers for periodically controlled linear switched systems,” in 5th Indian Control Conference Proceedings, Delhi, India, 2019. ista: Kundu A, Garcia Soto M, Prabhakar P. 2019. Formal synthesis of stabilizing controllers for periodically controlled linear switched systems. 5th Indian Control Conference Proceedings. ICC 2019 - Indian Control Conference, 8715598. mla: Kundu, Atreyee, et al. “Formal Synthesis of Stabilizing Controllers for Periodically Controlled Linear Switched Systems.” 5th Indian Control Conference Proceedings, 8715598, IEEE, 2019, doi:10.1109/INDIANCC.2019.8715598. short: A. Kundu, M. Garcia Soto, P. Prabhakar, in:, 5th Indian Control Conference Proceedings, IEEE, 2019. conference: end_date: 2019-01-11 location: Delhi, India name: ICC 2019 - Indian Control Conference start_date: 2019-01-09 date_created: 2019-06-17T06:57:33Z date_published: 2019-05-16T00:00:00Z date_updated: 2021-01-12T08:08:01Z day: '16' ddc: - '000' department: - _id: ToHe doi: 10.1109/INDIANCC.2019.8715598 file: - access_level: open_access checksum: d622a91af1e427f6b1e0ba8e18a2b767 content_type: application/pdf creator: dernst date_created: 2020-10-21T13:13:49Z date_updated: 2020-10-21T13:13:49Z file_id: '8687' file_name: 2019_ICC_Kundu.pdf file_size: 396031 relation: main_file success: 1 file_date_updated: 2020-10-21T13:13:49Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Submitted Version project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 5th Indian Control Conference Proceedings publication_identifier: isbn: - 978-153866246-5 publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Formal synthesis of stabilizing controllers for periodically controlled linear switched systems type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2019' ... --- _id: '6822' abstract: - lang: eng text: "In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the qualitative winner or quantitative payoff of the game. In bidding games, in each turn, we hold an auction between the two players to determine which player moves the token. Bidding games have largely been studied with concrete bidding mechanisms that are variants of a first-price auction: in each turn both players simultaneously submit bids, the higher\r\nbidder moves the token, and pays his bid to the lower bidder in Richman bidding, to the bank in poorman bidding, and in taxman bidding, the bid is split between the other player and the bank according to a predefined constant factor. Bidding games are deterministic games. They have an intriguing connection with a fragment of stochastic games called \r\n randomturn games. We study, for the first time, a combination of bidding games with probabilistic behavior; namely, we study bidding games that are played on Markov decision processes, where the players bid for the right to choose the next action, which determines the probability distribution according to which the next vertex is chosen. We study parity and meanpayoff bidding games on MDPs and extend results from the deterministic bidding setting to the probabilistic one." alternative_title: - LNCS author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Rasmus full_name: Ibsen-Jensen, Rasmus id: 3B699956-F248-11E8-B48F-1D18A9856A87 last_name: Ibsen-Jensen orcid: 0000-0003-4783-0389 - first_name: Petr full_name: Novotny, Petr last_name: Novotny citation: ama: 'Avni G, Henzinger TA, Ibsen-Jensen R, Novotny P. Bidding games on Markov decision processes. In: Proceedings of the 13th International Conference of Reachability Problems. Vol 11674. Springer; 2019:1-12. doi:10.1007/978-3-030-30806-3_1' apa: 'Avni, G., Henzinger, T. A., Ibsen-Jensen, R., & Novotny, P. (2019). Bidding games on Markov decision processes. In Proceedings of the 13th International Conference of Reachability Problems (Vol. 11674, pp. 1–12). Brussels, Belgium: Springer. https://doi.org/10.1007/978-3-030-30806-3_1' chicago: Avni, Guy, Thomas A Henzinger, Rasmus Ibsen-Jensen, and Petr Novotny. “Bidding Games on Markov Decision Processes.” In Proceedings of the 13th International Conference of Reachability Problems, 11674:1–12. Springer, 2019. https://doi.org/10.1007/978-3-030-30806-3_1. ieee: G. Avni, T. A. Henzinger, R. Ibsen-Jensen, and P. Novotny, “Bidding games on Markov decision processes,” in Proceedings of the 13th International Conference of Reachability Problems, Brussels, Belgium, 2019, vol. 11674, pp. 1–12. ista: 'Avni G, Henzinger TA, Ibsen-Jensen R, Novotny P. 2019. Bidding games on Markov decision processes. Proceedings of the 13th International Conference of Reachability Problems. RP: Reachability Problems, LNCS, vol. 11674, 1–12.' mla: Avni, Guy, et al. “Bidding Games on Markov Decision Processes.” Proceedings of the 13th International Conference of Reachability Problems, vol. 11674, Springer, 2019, pp. 1–12, doi:10.1007/978-3-030-30806-3_1. short: G. Avni, T.A. Henzinger, R. Ibsen-Jensen, P. Novotny, in:, Proceedings of the 13th International Conference of Reachability Problems, Springer, 2019, pp. 1–12. conference: end_date: 2019-09-13 location: Brussels, Belgium name: 'RP: Reachability Problems' start_date: 2019-09-11 date_created: 2019-08-19T07:58:10Z date_published: 2019-09-06T00:00:00Z date_updated: 2021-01-12T08:09:12Z day: '06' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-030-30806-3_1 file: - access_level: open_access checksum: 45ebbc709af2b247d28c7c293c01504b content_type: application/pdf creator: gavni date_created: 2019-08-19T07:56:40Z date_updated: 2020-07-14T12:47:41Z file_id: '6823' file_name: prob.pdf file_size: 436635 relation: main_file file_date_updated: 2020-07-14T12:47:41Z has_accepted_license: '1' intvolume: ' 11674' language: - iso: eng month: '09' oa: 1 oa_version: Submitted Version page: 1-12 project: - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: ' Proceedings of the 13th International Conference of Reachability Problems' publication_identifier: isbn: - 978-303030805-6 issn: - 0302-9743 publication_status: published publisher: Springer quality_controlled: '1' scopus_import: 1 status: public title: Bidding games on Markov decision processes type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 11674 year: '2019' ... --- _id: '6888' abstract: - lang: eng text: In this paper, we design novel liquid time-constant recurrent neural networks for robotic control, inspired by the brain of the nematode, C. elegans. In the worm's nervous system, neurons communicate through nonlinear time-varying synaptic links established amongst them by their particular wiring structure. This property enables neurons to express liquid time-constants dynamics and therefore allows the network to originate complex behaviors with a small number of neurons. We identify neuron-pair communication motifs as design operators and use them to configure compact neuronal network structures to govern sequential robotic tasks. The networks are systematically designed to map the environmental observations to motor actions, by their hierarchical topology from sensory neurons, through recurrently-wired interneurons, to motor neurons. The networks are then parametrized in a supervised-learning scheme by a search-based algorithm. We demonstrate that obtained networks realize interpretable dynamics. We evaluate their performance in controlling mobile and arm robots, and compare their attributes to other artificial neural network-based control agents. Finally, we experimentally show their superior resilience to environmental noise, compared to the existing machine learning-based methods. alternative_title: - ICRA article_number: '8793840' article_processing_charge: No author: - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Manuel full_name: Zimmer, Manuel last_name: Zimmer - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Lechner M, Hasani R, Zimmer M, Henzinger TA, Grosu R. Designing worm-inspired neural networks for interpretable robotic control. In: Proceedings - IEEE International Conference on Robotics and Automation. Vol 2019-May. IEEE; 2019. doi:10.1109/icra.2019.8793840' apa: 'Lechner, M., Hasani, R., Zimmer, M., Henzinger, T. A., & Grosu, R. (2019). Designing worm-inspired neural networks for interpretable robotic control. In Proceedings - IEEE International Conference on Robotics and Automation (Vol. 2019–May). Montreal, QC, Canada: IEEE. https://doi.org/10.1109/icra.2019.8793840' chicago: Lechner, Mathias, Ramin Hasani, Manuel Zimmer, Thomas A Henzinger, and Radu Grosu. “Designing Worm-Inspired Neural Networks for Interpretable Robotic Control.” In Proceedings - IEEE International Conference on Robotics and Automation, Vol. 2019–May. IEEE, 2019. https://doi.org/10.1109/icra.2019.8793840. ieee: M. Lechner, R. Hasani, M. Zimmer, T. A. Henzinger, and R. Grosu, “Designing worm-inspired neural networks for interpretable robotic control,” in Proceedings - IEEE International Conference on Robotics and Automation, Montreal, QC, Canada, 2019, vol. 2019–May. ista: 'Lechner M, Hasani R, Zimmer M, Henzinger TA, Grosu R. 2019. Designing worm-inspired neural networks for interpretable robotic control. Proceedings - IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and Automation, ICRA, vol. 2019–May, 8793840.' mla: Lechner, Mathias, et al. “Designing Worm-Inspired Neural Networks for Interpretable Robotic Control.” Proceedings - IEEE International Conference on Robotics and Automation, vol. 2019–May, 8793840, IEEE, 2019, doi:10.1109/icra.2019.8793840. short: M. Lechner, R. Hasani, M. Zimmer, T.A. Henzinger, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2019. conference: end_date: 2019-05-24 location: Montreal, QC, Canada name: 'ICRA: International Conference on Robotics and Automation' start_date: 2019-05-20 date_created: 2019-09-18T08:09:51Z date_published: 2019-05-01T00:00:00Z date_updated: 2021-01-12T08:09:28Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.1109/icra.2019.8793840 file: - access_level: open_access checksum: f5545a6b60c3ffd01feb3613f81d03b6 content_type: application/pdf creator: dernst date_created: 2020-10-08T17:30:38Z date_updated: 2020-10-08T17:30:38Z file_id: '8636' file_name: 2019_ICRA_Lechner.pdf file_size: 3265107 relation: main_file success: 1 file_date_updated: 2020-10-08T17:30:38Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Submitted Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings - IEEE International Conference on Robotics and Automation publication_identifier: isbn: - '9781538660270' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Designing worm-inspired neural networks for interpretable robotic control type: conference user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425 volume: 2019-May year: '2019' ... --- _id: '6886' abstract: - lang: eng text: 'In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the winner of the game. Such games are central in formal methods since they model the interaction between a non-terminating system and its environment. In bidding games the players bid for the right to move the token: in each round, the players simultaneously submit bids, and the higher bidder moves the token and pays the other player. Bidding games are known to have a clean and elegant mathematical structure that relies on the ability of the players to submit arbitrarily small bids. Many applications, however, require a fixed granularity for the bids, which can represent, for example, the monetary value expressed in cents. We study, for the first time, the combination of discrete-bidding and infinite-duration games. Our most important result proves that these games form a large determined subclass of concurrent games, where determinacy is the strong property that there always exists exactly one player who can guarantee winning the game. In particular, we show that, in contrast to non-discrete bidding games, the mechanism with which tied bids are resolved plays an important role in discrete-bidding games. We study several natural tie-breaking mechanisms and show that, while some do not admit determinacy, most natural mechanisms imply determinacy for every pair of initial budgets. ' alternative_title: - LIPIcs article_number: '20' article_processing_charge: No author: - first_name: Milad full_name: Aghajohari, Milad last_name: Aghajohari - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 citation: ama: 'Aghajohari M, Avni G, Henzinger TA. Determinacy in discrete-bidding infinite-duration games. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.20' apa: 'Aghajohari, M., Avni, G., & Henzinger, T. A. (2019). Determinacy in discrete-bidding infinite-duration games (Vol. 140). Presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.CONCUR.2019.20' chicago: Aghajohari, Milad, Guy Avni, and Thomas A Henzinger. “Determinacy in Discrete-Bidding Infinite-Duration Games,” Vol. 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019. https://doi.org/10.4230/LIPICS.CONCUR.2019.20. ieee: 'M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.' ista: 'Aghajohari M, Avni G, Henzinger TA. 2019. Determinacy in discrete-bidding infinite-duration games. CONCUR: International Conference on Concurrency Theory, LIPIcs, vol. 140, 20.' mla: Aghajohari, Milad, et al. Determinacy in Discrete-Bidding Infinite-Duration Games. Vol. 140, 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.20. short: M. Aghajohari, G. Avni, T.A. Henzinger, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019. conference: end_date: 2019-08-30 location: Amsterdam, Netherlands name: 'CONCUR: International Conference on Concurrency Theory' start_date: 2019-08-27 date_created: 2019-09-18T08:06:58Z date_published: 2019-08-01T00:00:00Z date_updated: 2022-01-26T08:27:10Z day: '01' ddc: - '000' department: - _id: ToHe doi: 10.4230/LIPICS.CONCUR.2019.20 external_id: arxiv: - '1905.03588' file: - access_level: open_access checksum: 4df6d3575c506edb17215adada03cc8e content_type: application/pdf creator: kschuh date_created: 2019-09-27T12:21:38Z date_updated: 2020-07-14T12:47:43Z file_id: '6915' file_name: 2019_LIPIcs_Aghajohari.pdf file_size: 741425 relation: main_file file_date_updated: 2020-07-14T12:47:43Z has_accepted_license: '1' intvolume: ' 140' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: '1' status: public title: Determinacy in discrete-bidding infinite-duration games tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode name: Creative Commons Attribution 3.0 Unported (CC BY 3.0) short: CC BY (3.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 volume: 140 year: '2019' ... --- _id: '6885' abstract: - lang: eng text: 'A vector addition system with states (VASS) consists of a finite set of states and counters. A configuration is a state and a value for each counter; a transition changes the state and each counter is incremented, decremented, or left unchanged. While qualitative properties such as state and configuration reachability have been studied for VASS, we consider the long-run average cost of infinite computations of VASS. The cost of a configuration is for each state, a linear combination of the counter values. In the special case of uniform cost functions, the linear combination is the same for all states. The (regular) long-run emptiness problem is, given a VASS, a cost function, and a threshold value, if there is a (lasso-shaped) computation such that the long-run average value of the cost function does not exceed the threshold. For uniform cost functions, we show that the regular long-run emptiness problem is (a) decidable in polynomial time for integer-valued VASS, and (b) decidable but nonelementarily hard for natural-valued VASS (i.e., nonnegative counters). For general cost functions, we show that the problem is (c) NP-complete for integer-valued VASS, and (d) undecidable for natural-valued VASS. Our most interesting result is for (c) integer-valued VASS with general cost functions, where we establish a connection between the regular long-run emptiness problem and quadratic Diophantine inequalities. The general (nonregular) long-run emptiness problem is equally hard as the regular problem in all cases except (c), where it remains open. ' alternative_title: - LIPIcs article_number: '27' author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Jan full_name: Otop, Jan last_name: Otop citation: ama: 'Chatterjee K, Henzinger TA, Otop J. Long-run average behavior of vector addition systems with states. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.27' apa: 'Chatterjee, K., Henzinger, T. A., & Otop, J. (2019). Long-run average behavior of vector addition systems with states (Vol. 140). Presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.CONCUR.2019.27' chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Long-Run Average Behavior of Vector Addition Systems with States,” Vol. 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019. https://doi.org/10.4230/LIPICS.CONCUR.2019.27. ieee: 'K. Chatterjee, T. A. Henzinger, and J. Otop, “Long-run average behavior of vector addition systems with states,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.' ista: 'Chatterjee K, Henzinger TA, Otop J. 2019. Long-run average behavior of vector addition systems with states. CONCUR: International Conference on Concurrency Theory, LIPIcs, vol. 140, 27.' mla: Chatterjee, Krishnendu, et al. Long-Run Average Behavior of Vector Addition Systems with States. Vol. 140, 27, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.27. short: K. Chatterjee, T.A. Henzinger, J. Otop, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019. conference: end_date: 2019-08-30 location: Amsterdam, Netherlands name: 'CONCUR: International Conference on Concurrency Theory' start_date: 2019-08-27 date_created: 2019-09-18T08:06:14Z date_published: 2019-08-01T00:00:00Z date_updated: 2021-01-12T08:09:27Z day: '01' ddc: - '000' department: - _id: ToHe - _id: KrCh doi: 10.4230/LIPICS.CONCUR.2019.27 file: - access_level: open_access checksum: 4985e26e1572d1575d64d38acabd71d6 content_type: application/pdf creator: kschuh date_created: 2019-09-27T12:09:35Z date_updated: 2020-07-14T12:47:43Z file_id: '6914' file_name: 2019_LIPIcs_Chatterjee.pdf file_size: 538120 relation: main_file file_date_updated: 2020-07-14T12:47:43Z has_accepted_license: '1' intvolume: ' 140' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' scopus_import: 1 status: public title: Long-run average behavior of vector addition systems with states tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 140 year: '2019' ...