Mathias Lechner

Graduate School
Henzinger_Thomas Group

31 Publications

Mark all

[31]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. A learner-verifier framework for neural network controllers and certificates of stochastic systems. Tools and Algorithms for the Construction and Analysis of Systems . TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 13993, 3–25.
[Published Version] View | Files available | DOI
 
[30]
2023 | Journal Article | IST-REx-ID: 12704 | OA
Lechner M, Amini A, Rus D, Henzinger TA. 2023. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. 8(3), 1595–1602.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[29]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 14964–14973.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[28]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. Learning provably stabilizing neural controllers for discrete-time stochastic systems. 21st International Symposium on Automated Technology for Verification and Analysis. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 14215, 357–379.
View | DOI
 
[27]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. 2023. Learning control policies for stochastic systems with reach-avoid guarantees. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 11926–11935.
[Preprint] View | Files available | DOI | arXiv
 
[26]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. 2023. Compositional policy learning in stochastic control systems with formal guarantees. 37th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[25]
2022 | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer A, Berducci L, Brandstatter A, Lechner M, Hasani R, Rus D, Grosu R. 2022. Latent imagination facilitates zero-shot transfer in autonomous racing. 2022 International Conference on Robotics and Automation. ICRA: International Conference on Robotics and Automation, 7513–7520.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[24]
2022 | Preprint | IST-REx-ID: 11366 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv, 2204.07373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[23]
2022 | Journal Article | IST-REx-ID: 12147 | OA
Hasani R, Lechner M, Amini A, Liebenwein L, Ray A, Tschaikowski M, Teschl G, Rus D. 2022. Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11), 992–1003.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[22]
2022 | Thesis | IST-REx-ID: 11362 | OA
Lechner M. 2022. Learning verifiable representations. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[21]
2022 | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher SA, Lechner M, Hasani R, Rus D, Henzinger TA, Smolka SA, Grosu R. 2022. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6), 6755–6764.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[20]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA. 2022. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7), 7326–7336.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv, 10.48550/arXiv.2205.11991.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv, 10.48550/ARXIV.2210.05308.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2021 | Conference Paper | IST-REx-ID: 10669 | OA
Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. 2021. On the verification of neural ODEs with stochastic guarantees. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 11525–11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[16]
2021 | Conference Paper | IST-REx-ID: 10671 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2021. Liquid time-constant networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 7657–7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[15]
2021 | Conference Paper | IST-REx-ID: 10668 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.)
 
[14]
2021 | Conference Paper | IST-REx-ID: 10670 | OA
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, .
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[13]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[12]
2021 | Conference Paper | IST-REx-ID: 10667 | OA
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, .
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
[11]
2021 | Journal Article | IST-REx-ID: 10404 | OA
Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. 2021. Interactive analysis of CNN robustness. Computer Graphics Forum. 40(7), 253–264.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 10666 | OA
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.
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 
[9]
2020 | Conference Paper | IST-REx-ID: 10673 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.)
 
[8]
2020 | Conference Paper | IST-REx-ID: 9103 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Lechner M. 2020. Learning representations for binary-classification without backpropagation. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available | Download Published Version (ext.)
 
[6]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
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.
[Published Version] View | Files available | DOI
 
[5]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
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.
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
[4]
2020 | Journal Article | IST-REx-ID: 8679
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.
View | Files available | DOI | WoS
 
[3]
2020 | Conference Paper | IST-REx-ID: 8704 | OA
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.
[Submitted Version] View | Files available | DOI | WoS
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
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.
[Submitted Version] View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Hasani R, Amini A, Lechner M, Naser F, Grosu R, Rus D. 2019. Response characterization for auditing cell dynamics in long short-term memory networks. Proceedings of the International Joint Conference on Neural Networks. IJCNN: International Joint Conference on Neural Networks, 8851954.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
Marked Publication(s)

Search

Filter Publications

    • Display / Sort

    Citation Style: ISTA Annual Report

    Export / Embed

31 Publications

Mark all

[31]
2023 | Conference Paper | IST-REx-ID: 13142 | OA
Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. A learner-verifier framework for neural network controllers and certificates of stochastic systems. Tools and Algorithms for the Construction and Analysis of Systems . TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 13993, 3–25.
[Published Version] View | Files available | DOI
 
[30]
2023 | Journal Article | IST-REx-ID: 12704 | OA
Lechner M, Amini A, Rus D, Henzinger TA. 2023. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. 8(3), 1595–1602.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[29]
2023 | Conference Paper | IST-REx-ID: 14242 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 14964–14973.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[28]
2023 | Conference Paper | IST-REx-ID: 14559
Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. Learning provably stabilizing neural controllers for discrete-time stochastic systems. 21st International Symposium on Automated Technology for Verification and Analysis. ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 14215, 357–379.
View | DOI
 
[27]
2023 | Conference Paper | IST-REx-ID: 14830
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. 2023. Learning control policies for stochastic systems with reach-avoid guarantees. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 11926–11935.
[Preprint] View | Files available | DOI | arXiv
 
[26]
2023 | Conference Paper | IST-REx-ID: 15023 | OA
Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. 2023. Compositional policy learning in stochastic control systems with formal guarantees. 37th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[25]
2022 | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer A, Berducci L, Brandstatter A, Lechner M, Hasani R, Rus D, Grosu R. 2022. Latent imagination facilitates zero-shot transfer in autonomous racing. 2022 International Conference on Robotics and Automation. ICRA: International Conference on Robotics and Automation, 7513–7520.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[24]
2022 | Preprint | IST-REx-ID: 11366 | OA
Lechner M, Amini A, Rus D, Henzinger TA. Revisiting the adversarial robustness-accuracy tradeoff in robot learning. arXiv, 2204.07373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[23]
2022 | Journal Article | IST-REx-ID: 12147 | OA
Hasani R, Lechner M, Amini A, Liebenwein L, Ray A, Tschaikowski M, Teschl G, Rus D. 2022. Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11), 992–1003.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[22]
2022 | Thesis | IST-REx-ID: 11362 | OA
Lechner M. 2022. Learning verifiable representations. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[21]
2022 | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher SA, Lechner M, Hasani R, Rus D, Henzinger TA, Smolka SA, Grosu R. 2022. GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6), 6755–6764.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[20]
2022 | Journal Article | IST-REx-ID: 12511 | OA
Lechner M, Zikelic D, Chatterjee K, Henzinger TA. 2022. Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7), 7326–7336.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2022 | Preprint | IST-REx-ID: 14601 | OA
Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies in stochastic control systems. arXiv, 10.48550/arXiv.2205.11991.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2022 | Preprint | IST-REx-ID: 14600 | OA
Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies for stochastic systems with reach-avoid guarantees. arXiv, 10.48550/ARXIV.2210.05308.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2021 | Conference Paper | IST-REx-ID: 10669 | OA
Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. 2021. On the verification of neural ODEs with stochastic guarantees. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 11525–11535.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[16]
2021 | Conference Paper | IST-REx-ID: 10671 | OA
Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2021. Liquid time-constant networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 7657–7666.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[15]
2021 | Conference Paper | IST-REx-ID: 10668 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.)
 
[14]
2021 | Conference Paper | IST-REx-ID: 10670 | OA
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, .
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[13]
2021 | Conference Paper | IST-REx-ID: 10665 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[12]
2021 | Conference Paper | IST-REx-ID: 10667 | OA
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, .
[Published Version] View | Files available | DOI | Download Published Version (ext.) | arXiv
 
[11]
2021 | Journal Article | IST-REx-ID: 10404 | OA
Sietzen S, Lechner M, Borowski J, Hasani R, Waldner M. 2021. Interactive analysis of CNN robustness. Computer Graphics Forum. 40(7), 253–264.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 10666 | OA
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.
View | Files available | DOI | Download None (ext.) | WoS | arXiv
 
[9]
2020 | Conference Paper | IST-REx-ID: 10673 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.)
 
[8]
2020 | Conference Paper | IST-REx-ID: 9103 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2020 | Conference Paper | IST-REx-ID: 10672 | OA
Lechner M. 2020. Learning representations for binary-classification without backpropagation. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version] View | Files available | Download Published Version (ext.)
 
[6]
2020 | Conference Paper | IST-REx-ID: 7808 | OA
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.
[Published Version] View | Files available | DOI
 
[5]
2020 | Conference Paper | IST-REx-ID: 8194 | OA
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.
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
[4]
2020 | Journal Article | IST-REx-ID: 8679
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.
View | Files available | DOI | WoS
 
[3]
2020 | Conference Paper | IST-REx-ID: 8704 | OA
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.
[Submitted Version] View | Files available | DOI | WoS
 
[2]
2019 | Conference Paper | IST-REx-ID: 6888 | OA
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.
[Submitted Version] View | Files available | DOI
 
[1]
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Hasani R, Amini A, Lechner M, Naser F, Grosu R, Rus D. 2019. Response characterization for auditing cell dynamics in long short-term memory networks. Proceedings of the International Joint Conference on Neural Networks. IJCNN: International Joint Conference on Neural Networks, 8851954.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
Marked Publication(s)

Search

Filter Publications

    • Display / Sort

    Citation Style: ISTA Annual Report

    Export / Embed