--- _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: '8358' abstract: - lang: eng text: "During bacterial cell division, the tubulin-homolog FtsZ forms a ring-like structure at the center of the cell. This so-called Z-ring acts as a scaffold recruiting several division-related proteins to mid-cell and plays a key role in distributing proteins at the division site, a feature driven by the treadmilling motion of FtsZ filaments around the septum. What regulates the architecture, dynamics and stability of the Z-ring is still poorly understood, but FtsZ-associated proteins (Zaps) are known to play an important role. \r\nAdvances in fluorescence microscopy and in vitro reconstitution experiments have helped to shed light into some of the dynamic properties of these complex systems, but methods that allow to collect and analyze large quantitative data sets of the underlying polymer dynamics are still missing.\r\nHere, using an in vitro reconstitution approach, we studied how different Zaps affect FtsZ filament dynamics and organization into large-scale patterns, giving special emphasis to the role of the well-conserved protein ZapA. For this purpose, we use high-resolution fluorescence microscopy combined with novel image analysis workfows to study pattern organization and polymerization dynamics of active filaments. We quantified the influence of Zaps on FtsZ on three diferent spatial scales: the large-scale organization of the membrane-bound filament network, the underlying\r\npolymerization dynamics and the behavior of single molecules.\r\nWe found that ZapA cooperatively increases the spatial order of the filament network, binds only transiently to FtsZ filaments and has no effect on filament length and treadmilling velocity. Our data provides a model for how FtsZ-associated proteins can increase the precision and stability of the bacterial cell division machinery in a\r\nswitch-like manner, without compromising filament dynamics. Furthermore, we believe that our automated quantitative methods can be used to analyze a large variety of dynamic cytoskeletal systems, using standard time-lapse\r\nmovies of homogeneously labeled proteins obtained from experiments in vitro or even inside the living cell.\r\n" acknowledged_ssus: - _id: Bio acknowledgement: I should also express my gratitude to the bioimaging facility at IST Austria, for their assistance with the TIRF setup over the years, and especially to Christoph Sommer, who gave me a lot of input when I was starting to dive into programming. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Paulo R full_name: Dos Santos Caldas, Paulo R id: 38FCDB4C-F248-11E8-B48F-1D18A9856A87 last_name: Dos Santos Caldas orcid: 0000-0001-6730-4461 citation: ama: Dos Santos Caldas PR. Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers. 2020. doi:10.15479/AT:ISTA:8358 apa: Dos Santos Caldas, P. R. (2020). Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8358 chicago: Dos Santos Caldas, Paulo R. “Organization and Dynamics of Treadmilling Filaments in Cytoskeletal Networks of FtsZ and Its Crosslinkers.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8358. ieee: P. R. Dos Santos Caldas, “Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers,” Institute of Science and Technology Austria, 2020. ista: Dos Santos Caldas PR. 2020. Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers. Institute of Science and Technology Austria. mla: Dos Santos Caldas, Paulo R. Organization and Dynamics of Treadmilling Filaments in Cytoskeletal Networks of FtsZ and Its Crosslinkers. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8358. short: P.R. Dos Santos Caldas, Organization and Dynamics of Treadmilling Filaments in Cytoskeletal Networks of FtsZ and Its Crosslinkers, Institute of Science and Technology Austria, 2020. date_created: 2020-09-10T09:26:49Z date_published: 2020-09-10T00:00:00Z date_updated: 2023-09-07T13:18:51Z day: '10' ddc: - '572' degree_awarded: PhD department: - _id: MaLo doi: 10.15479/AT:ISTA:8358 file: - access_level: open_access checksum: 882f93fe9c351962120e2669b84bf088 content_type: application/pdf creator: pcaldas date_created: 2020-09-10T12:11:29Z date_updated: 2020-09-10T12:11:29Z file_id: '8364' file_name: phd_thesis_pcaldas.pdf file_size: 141602462 relation: main_file success: 1 - access_level: closed checksum: 70cc9e399c4e41e6e6ac445ae55e8558 content_type: application/x-zip-compressed creator: pcaldas date_created: 2020-09-10T12:18:17Z date_updated: 2020-09-11T07:48:10Z file_id: '8365' file_name: phd_thesis_latex_pcaldas.zip file_size: 450437458 relation: source_file file_date_updated: 2020-09-11T07:48:10Z has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: '135' publication_identifier: isbn: - 978-3-99078-009-1 issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '7572' relation: dissertation_contains status: public - id: '7197' relation: part_of_dissertation status: public status: public supervisor: - first_name: Martin full_name: Loose, Martin id: 462D4284-F248-11E8-B48F-1D18A9856A87 last_name: Loose orcid: 0000-0001-7309-9724 title: Organization and dynamics of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinkers 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: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2020' ... --- _id: '8703' abstract: - lang: eng text: 'Even though Delaunay originally introduced his famous triangulations in the case of infinite point sets with translational periodicity, a software that computes such triangulations in the general case is not yet available, to the best of our knowledge. Combining and generalizing previous work, we present a practical algorithm for computing such triangulations. The algorithm has been implemented and experiments show that its performance is as good as the one of the CGAL package, which is restricted to cubic periodicity. ' alternative_title: - LIPIcs article_number: '75' article_processing_charge: No author: - first_name: Georg F full_name: Osang, Georg F id: 464B40D6-F248-11E8-B48F-1D18A9856A87 last_name: Osang orcid: 0000-0002-8882-5116 - first_name: Mael full_name: Rouxel-Labbé, Mael last_name: Rouxel-Labbé - first_name: Monique full_name: Teillaud, Monique last_name: Teillaud citation: ama: 'Osang GF, Rouxel-Labbé M, Teillaud M. Generalizing CGAL periodic Delaunay triangulations. In: 28th Annual European Symposium on Algorithms. Vol 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.ESA.2020.75' apa: 'Osang, G. F., Rouxel-Labbé, M., & Teillaud, M. (2020). Generalizing CGAL periodic Delaunay triangulations. In 28th Annual European Symposium on Algorithms (Vol. 173). Virtual, Online; Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ESA.2020.75' chicago: Osang, Georg F, Mael Rouxel-Labbé, and Monique Teillaud. “Generalizing CGAL Periodic Delaunay Triangulations.” In 28th Annual European Symposium on Algorithms, Vol. 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.ESA.2020.75. ieee: G. F. Osang, M. Rouxel-Labbé, and M. Teillaud, “Generalizing CGAL periodic Delaunay triangulations,” in 28th Annual European Symposium on Algorithms, Virtual, Online; Pisa, Italy, 2020, vol. 173. ista: 'Osang GF, Rouxel-Labbé M, Teillaud M. 2020. Generalizing CGAL periodic Delaunay triangulations. 28th Annual European Symposium on Algorithms. ESA: Annual European Symposium on Algorithms, LIPIcs, vol. 173, 75.' mla: Osang, Georg F., et al. “Generalizing CGAL Periodic Delaunay Triangulations.” 28th Annual European Symposium on Algorithms, vol. 173, 75, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.ESA.2020.75. short: G.F. Osang, M. Rouxel-Labbé, M. Teillaud, in:, 28th Annual European Symposium on Algorithms, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. conference: end_date: 2020-09-09 location: Virtual, Online; Pisa, Italy name: 'ESA: Annual European Symposium on Algorithms' start_date: 2020-09-07 date_created: 2020-10-25T23:01:18Z date_published: 2020-08-26T00:00:00Z date_updated: 2023-09-07T13:29:00Z day: '26' ddc: - '000' department: - _id: HeEd doi: 10.4230/LIPIcs.ESA.2020.75 ec_funded: 1 file: - access_level: open_access checksum: fe0f7c49a99ed870c671b911e10d5496 content_type: application/pdf creator: cziletti date_created: 2020-10-27T14:31:52Z date_updated: 2020-10-27T14:31:52Z file_id: '8712' file_name: 2020_LIPIcs_Osang.pdf file_size: 733291 relation: main_file success: 1 file_date_updated: 2020-10-27T14:31:52Z has_accepted_license: '1' intvolume: ' 173' language: - iso: eng license: https://creativecommons.org/licenses/by/3.0/ month: '08' oa: 1 oa_version: Published Version project: - _id: 266A2E9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '788183' name: Alpha Shape Theory Extended publication: 28th Annual European Symposium on Algorithms publication_identifier: isbn: - '9783959771627' issn: - '18688969' publication_status: published publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik quality_controlled: '1' related_material: record: - id: '9056' relation: dissertation_contains status: public scopus_import: '1' status: public title: Generalizing CGAL periodic Delaunay triangulations 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: 173 year: '2020' ... --- _id: '7481' abstract: - lang: eng text: 'We address the following question: How redundant is the parameterisation of ReLU networks? Specifically, we consider transformations of the weight space which leave the function implemented by the network intact. Two such transformations are known for feed-forward architectures: permutation of neurons within a layer, and positive scaling of all incoming weights of a neuron coupled with inverse scaling of its outgoing weights. In this work, we show for architectures with non-increasing widths that permutation and scaling are in fact the only function-preserving weight transformations. For any eligible architecture we give an explicit construction of a neural network such that any other network that implements the same function can be obtained from the original one by the application of permutations and rescaling. The proof relies on a geometric understanding of boundaries between linear regions of ReLU networks, and we hope the developed mathematical tools are of independent interest.' article_processing_charge: No author: - first_name: Phuong full_name: Bui Thi Mai, Phuong id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87 last_name: Bui Thi Mai - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Phuong M, Lampert C. Functional vs. parametric equivalence of ReLU networks. In: 8th International Conference on Learning Representations. ; 2020.' apa: Phuong, M., & Lampert, C. (2020). Functional vs. parametric equivalence of ReLU networks. In 8th International Conference on Learning Representations. Online. chicago: Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” In 8th International Conference on Learning Representations, 2020. ieee: M. Phuong and C. Lampert, “Functional vs. parametric equivalence of ReLU networks,” in 8th International Conference on Learning Representations, Online, 2020. ista: 'Phuong M, Lampert C. 2020. Functional vs. parametric equivalence of ReLU networks. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.' mla: Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” 8th International Conference on Learning Representations, 2020. short: M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020. conference: end_date: 2020-04-30 location: Online name: 'ICLR: International Conference on Learning Representations' start_date: 2020-04-27 date_created: 2020-02-11T09:07:37Z date_published: 2020-04-26T00:00:00Z date_updated: 2023-09-07T13:29:50Z day: '26' ddc: - '000' department: - _id: ChLa file: - access_level: open_access checksum: 8d372ea5defd8cb8fdc430111ed754a9 content_type: application/pdf creator: bphuong date_created: 2020-02-11T09:07:27Z date_updated: 2020-07-14T12:47:59Z file_id: '7482' file_name: main.pdf file_size: 405469 relation: main_file file_date_updated: 2020-07-14T12:47:59Z has_accepted_license: '1' language: - iso: eng month: '04' oa: 1 oa_version: Published Version publication: 8th International Conference on Learning Representations publication_status: published quality_controlled: '1' related_material: link: - relation: supplementary_material url: https://iclr.cc/virtual_2020/poster_Bylx-TNKvH.html record: - id: '9418' relation: dissertation_contains status: public status: public title: Functional vs. parametric equivalence of ReLU networks type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '9781' abstract: - lang: eng text: We consider the Pekar functional on a ball in ℝ3. We prove uniqueness of minimizers, and a quadratic lower bound in terms of the distance to the minimizer. The latter follows from nondegeneracy of the Hessian at the minimum. acknowledgement: We are grateful for the hospitality at the Mittag-Leffler Institute, where part of this work has been done. The work of the authors was supported by the European Research Council (ERC)under the European Union's Horizon 2020 research and innovation programme grant 694227. article_processing_charge: No article_type: original author: - first_name: Dario full_name: Feliciangeli, Dario id: 41A639AA-F248-11E8-B48F-1D18A9856A87 last_name: Feliciangeli orcid: 0000-0003-0754-8530 - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 citation: ama: Feliciangeli D, Seiringer R. Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. 2020;52(1):605-622. doi:10.1137/19m126284x apa: Feliciangeli, D., & Seiringer, R. (2020). Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. Society for Industrial & Applied Mathematics . https://doi.org/10.1137/19m126284x chicago: Feliciangeli, Dario, and Robert Seiringer. “Uniqueness and Nondegeneracy of Minimizers of the Pekar Functional on a Ball.” SIAM Journal on Mathematical Analysis. Society for Industrial & Applied Mathematics , 2020. https://doi.org/10.1137/19m126284x. ieee: D. Feliciangeli and R. Seiringer, “Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball,” SIAM Journal on Mathematical Analysis, vol. 52, no. 1. Society for Industrial & Applied Mathematics , pp. 605–622, 2020. ista: Feliciangeli D, Seiringer R. 2020. Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. SIAM Journal on Mathematical Analysis. 52(1), 605–622. mla: Feliciangeli, Dario, and Robert Seiringer. “Uniqueness and Nondegeneracy of Minimizers of the Pekar Functional on a Ball.” SIAM Journal on Mathematical Analysis, vol. 52, no. 1, Society for Industrial & Applied Mathematics , 2020, pp. 605–22, doi:10.1137/19m126284x. short: D. Feliciangeli, R. Seiringer, SIAM Journal on Mathematical Analysis 52 (2020) 605–622. date_created: 2021-08-06T07:34:16Z date_published: 2020-02-12T00:00:00Z date_updated: 2023-09-07T13:30:11Z day: '12' ddc: - '510' department: - _id: RoSe doi: 10.1137/19m126284x ec_funded: 1 external_id: arxiv: - '1904.08647 ' isi: - '000546967700022' has_accepted_license: '1' intvolume: ' 52' isi: 1 issue: '1' keyword: - Applied Mathematics - Computational Mathematics - Analysis language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ main_file_link: - open_access: '1' url: https://arxiv.org/abs/1904.08647 month: '02' oa: 1 oa_version: Preprint page: 605-622 project: - _id: 25C6DC12-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '694227' name: Analysis of quantum many-body systems publication: SIAM Journal on Mathematical Analysis publication_identifier: eissn: - 1095-7154 issn: - 0036-1410 publication_status: published publisher: 'Society for Industrial & Applied Mathematics ' quality_controlled: '1' related_material: record: - id: '9733' relation: dissertation_contains status: public scopus_import: '1' status: public title: Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball 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: 52 year: '2020' ... --- _id: '7489' abstract: - lang: eng text: 'In the present work, we consider the evolution of two fluids separated by a sharp interface in the presence of surface tension—like, for example, the evolution of oil bubbles in water. Our main result is a weak–strong uniqueness principle for the corresponding free boundary problem for the incompressible Navier–Stokes equation: as long as a strong solution exists, any varifold solution must coincide with it. In particular, in the absence of physical singularities, the concept of varifold solutions—whose global in time existence has been shown by Abels (Interfaces Free Bound 9(1):31–65, 2007) for general initial data—does not introduce a mechanism for non-uniqueness. The key ingredient of our approach is the construction of a relative entropy functional capable of controlling the interface error. If the viscosities of the two fluids do not coincide, even for classical (strong) solutions the gradient of the velocity field becomes discontinuous at the interface, introducing the need for a careful additional adaption of the relative entropy.' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Julian L full_name: Fischer, Julian L id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87 last_name: Fischer orcid: 0000-0002-0479-558X - first_name: Sebastian full_name: Hensel, Sebastian id: 4D23B7DA-F248-11E8-B48F-1D18A9856A87 last_name: Hensel orcid: 0000-0001-7252-8072 citation: ama: Fischer JL, Hensel S. Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension. Archive for Rational Mechanics and Analysis. 2020;236:967-1087. doi:10.1007/s00205-019-01486-2 apa: Fischer, J. L., & Hensel, S. (2020). Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension. Archive for Rational Mechanics and Analysis. Springer Nature. https://doi.org/10.1007/s00205-019-01486-2 chicago: Fischer, Julian L, and Sebastian Hensel. “Weak–Strong Uniqueness for the Navier–Stokes Equation for Two Fluids with Surface Tension.” Archive for Rational Mechanics and Analysis. Springer Nature, 2020. https://doi.org/10.1007/s00205-019-01486-2. ieee: J. L. Fischer and S. Hensel, “Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension,” Archive for Rational Mechanics and Analysis, vol. 236. Springer Nature, pp. 967–1087, 2020. ista: Fischer JL, Hensel S. 2020. Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension. Archive for Rational Mechanics and Analysis. 236, 967–1087. mla: Fischer, Julian L., and Sebastian Hensel. “Weak–Strong Uniqueness for the Navier–Stokes Equation for Two Fluids with Surface Tension.” Archive for Rational Mechanics and Analysis, vol. 236, Springer Nature, 2020, pp. 967–1087, doi:10.1007/s00205-019-01486-2. short: J.L. Fischer, S. Hensel, Archive for Rational Mechanics and Analysis 236 (2020) 967–1087. date_created: 2020-02-16T23:00:50Z date_published: 2020-05-01T00:00:00Z date_updated: 2023-09-07T13:30:45Z day: '01' ddc: - '530' - '532' department: - _id: JuFi doi: 10.1007/s00205-019-01486-2 ec_funded: 1 external_id: isi: - '000511060200001' file: - access_level: open_access checksum: f107e21b58f5930876f47144be37cf6c content_type: application/pdf creator: dernst date_created: 2020-11-20T09:14:22Z date_updated: 2020-11-20T09:14:22Z file_id: '8779' file_name: 2020_ArchRatMechAn_Fischer.pdf file_size: 1897571 relation: main_file success: 1 file_date_updated: 2020-11-20T09:14:22Z has_accepted_license: '1' intvolume: ' 236' isi: 1 language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: 967-1087 project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Archive for Rational Mechanics and Analysis publication_identifier: eissn: - '14320673' issn: - '00039527' publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '10007' relation: dissertation_contains status: public scopus_import: '1' status: public title: Weak–strong uniqueness for the Navier–Stokes equation for two fluids with surface tension 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: 236 year: '2020' ... --- _id: '10012' abstract: - lang: eng text: We prove that in the absence of topological changes, the notion of BV solutions to planar multiphase mean curvature flow does not allow for a mechanism for (unphysical) non-uniqueness. Our approach is based on the local structure of the energy landscape near a classical evolution by mean curvature. Mean curvature flow being the gradient flow of the surface energy functional, we develop a gradient-flow analogue of the notion of calibrations. Just like the existence of a calibration guarantees that one has reached a global minimum in the energy landscape, the existence of a "gradient flow calibration" ensures that the route of steepest descent in the energy landscape is unique and stable. acknowledgement: Parts of the paper were written during the visit of the authors to the Hausdorff Research Institute for Mathematics (HIM), University of Bonn, in the framework of the trimester program “Evolution of Interfaces”. The support and the hospitality of HIM are gratefully acknowledged. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 665385. article_number: '2003.05478' article_processing_charge: No author: - first_name: Julian L full_name: Fischer, Julian L id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87 last_name: Fischer orcid: 0000-0002-0479-558X - first_name: Sebastian full_name: Hensel, Sebastian id: 4D23B7DA-F248-11E8-B48F-1D18A9856A87 last_name: Hensel orcid: 0000-0001-7252-8072 - first_name: Tim full_name: Laux, Tim last_name: Laux - first_name: Thilo full_name: Simon, Thilo last_name: Simon citation: ama: 'Fischer JL, Hensel S, Laux T, Simon T. The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv.' apa: 'Fischer, J. L., Hensel, S., Laux, T., & Simon, T. (n.d.). The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv.' chicago: 'Fischer, Julian L, Sebastian Hensel, Tim Laux, and Thilo Simon. “The Local Structure of the Energy Landscape in Multiphase Mean Curvature Flow: Weak-Strong Uniqueness and Stability of Evolutions.” ArXiv, n.d.' ieee: 'J. L. Fischer, S. Hensel, T. Laux, and T. Simon, “The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions,” arXiv. .' ista: 'Fischer JL, Hensel S, Laux T, Simon T. The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv, 2003.05478.' mla: 'Fischer, Julian L., et al. “The Local Structure of the Energy Landscape in Multiphase Mean Curvature Flow: Weak-Strong Uniqueness and Stability of Evolutions.” ArXiv, 2003.05478.' short: J.L. Fischer, S. Hensel, T. Laux, T. Simon, ArXiv (n.d.). date_created: 2021-09-13T12:17:11Z date_published: 2020-03-11T00:00:00Z date_updated: 2023-09-07T13:30:45Z day: '11' department: - _id: JuFi ec_funded: 1 external_id: arxiv: - '2003.05478' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2003.05478 month: '03' oa: 1 oa_version: Preprint project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: arXiv publication_status: submitted related_material: record: - id: '10007' relation: dissertation_contains status: public status: public title: 'The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions' type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2020' ... --- _id: '8755' abstract: - lang: eng text: 'The superconducting circuit community has recently discovered the promising potential of superinductors. These circuit elements have a characteristic impedance exceeding the resistance quantum RQ ≈ 6.45 kΩ which leads to a suppression of ground state charge fluctuations. Applications include the realization of hardware protected qubits for fault tolerant quantum computing, improved coupling to small dipole moment objects and defining a new quantum metrology standard for the ampere. In this work we refute the widespread notion that superinductors can only be implemented based on kinetic inductance, i.e. using disordered superconductors or Josephson junction arrays. We present modeling, fabrication and characterization of 104 planar aluminum coil resonators with a characteristic impedance up to 30.9 kΩ at 5.6 GHz and a capacitance down to ≤ 1 fF, with lowloss and a power handling reaching 108 intra-cavity photons. Geometric superinductors are free of uncontrolled tunneling events and offer high reproducibility, linearity and the ability to couple magnetically - properties that significantly broaden the scope of future quantum circuits. ' acknowledged_ssus: - _id: NanoFab acknowledgement: "The authors acknowledge the support from I. Prieto and the IST Nanofabrication Facility. This work was supported by IST Austria and a NOMIS foundation research grant and the Austrian Science Fund (FWF) through BeyondC (F71). MP is the recipient of a P¨ottinger scholarship at IST Austria. JMF acknowledges support from the European Union’s Horizon 2020 research and innovation programs under grant agreement No 732894 (FET Proactive HOT), 862644 (FET Open QUARTET), and the European Research Council under grant agreement\r\nnumber 758053 (ERC StG QUNNECT). " article_number: '044055' article_processing_charge: No article_type: original author: - first_name: Matilda full_name: Peruzzo, Matilda id: 3F920B30-F248-11E8-B48F-1D18A9856A87 last_name: Peruzzo orcid: 0000-0002-3415-4628 - first_name: Andrea full_name: Trioni, Andrea id: 42F71B44-F248-11E8-B48F-1D18A9856A87 last_name: Trioni - first_name: Farid full_name: Hassani, Farid id: 2AED110C-F248-11E8-B48F-1D18A9856A87 last_name: Hassani orcid: 0000-0001-6937-5773 - first_name: Martin full_name: Zemlicka, Martin id: 2DCF8DE6-F248-11E8-B48F-1D18A9856A87 last_name: Zemlicka - first_name: Johannes M full_name: Fink, Johannes M id: 4B591CBA-F248-11E8-B48F-1D18A9856A87 last_name: Fink orcid: 0000-0001-8112-028X citation: ama: Peruzzo M, Trioni A, Hassani F, Zemlicka M, Fink JM. Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. 2020;14(4). doi:10.1103/PhysRevApplied.14.044055 apa: Peruzzo, M., Trioni, A., Hassani, F., Zemlicka, M., & Fink, J. M. (2020). Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. American Physical Society. https://doi.org/10.1103/PhysRevApplied.14.044055 chicago: Peruzzo, Matilda, Andrea Trioni, Farid Hassani, Martin Zemlicka, and Johannes M Fink. “Surpassing the Resistance Quantum with a Geometric Superinductor.” Physical Review Applied. American Physical Society, 2020. https://doi.org/10.1103/PhysRevApplied.14.044055. ieee: M. Peruzzo, A. Trioni, F. Hassani, M. Zemlicka, and J. M. Fink, “Surpassing the resistance quantum with a geometric superinductor,” Physical Review Applied, vol. 14, no. 4. American Physical Society, 2020. ista: Peruzzo M, Trioni A, Hassani F, Zemlicka M, Fink JM. 2020. Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. 14(4), 044055. mla: Peruzzo, Matilda, et al. “Surpassing the Resistance Quantum with a Geometric Superinductor.” Physical Review Applied, vol. 14, no. 4, 044055, American Physical Society, 2020, doi:10.1103/PhysRevApplied.14.044055. short: M. Peruzzo, A. Trioni, F. Hassani, M. Zemlicka, J.M. Fink, Physical Review Applied 14 (2020). date_created: 2020-11-15T23:01:17Z date_published: 2020-10-29T00:00:00Z date_updated: 2023-09-07T13:31:22Z day: '29' ddc: - '530' department: - _id: JoFi doi: 10.1103/PhysRevApplied.14.044055 ec_funded: 1 external_id: arxiv: - '2007.01644' isi: - '000582797300003' file: - access_level: open_access checksum: 2a634abe75251ae7628cd54c8a4ce2e8 content_type: application/pdf creator: dernst date_created: 2021-03-29T11:43:20Z date_updated: 2021-03-29T11:43:20Z file_id: '9300' file_name: 2020_PhysReviewApplied_Peruzzo.pdf file_size: 2607823 relation: main_file success: 1 file_date_updated: 2021-03-29T11:43:20Z has_accepted_license: '1' intvolume: ' 14' isi: 1 issue: '4' language: - iso: eng month: '10' oa: 1 oa_version: Published Version project: - _id: 26927A52-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: F07105 name: Integrating superconducting quantum circuits - _id: 257EB838-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '732894' name: Hybrid Optomechanical Technologies - _id: 237CBA6C-32DE-11EA-91FC-C7463DDC885E call_identifier: H2020 grant_number: '862644' name: Quantum readout techniques and technologies - _id: 26336814-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '758053' name: A Fiber Optic Transceiver for Superconducting Qubits publication: Physical Review Applied publication_identifier: eissn: - '23317019' publication_status: published publisher: American Physical Society quality_controlled: '1' related_material: record: - id: '13070' relation: research_data status: public - id: '9920' relation: dissertation_contains status: public scopus_import: '1' status: public title: Surpassing the resistance quantum with a geometric superinductor type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 14 year: '2020' ... --- _id: '7573' abstract: - lang: eng text: This paper deals with dynamical optimal transport metrics defined by spatial discretisation of the Benamou–Benamou formula for the Kantorovich metric . Such metrics appear naturally in discretisations of -gradient flow formulations for dissipative PDE. However, it has recently been shown that these metrics do not in general converge to , unless strong geometric constraints are imposed on the discrete mesh. In this paper we prove that, in a 1-dimensional periodic setting, discrete transport metrics converge to a limiting transport metric with a non-trivial effective mobility. This mobility depends sensitively on the geometry of the mesh and on the non-local mobility at the discrete level. Our result quantifies to what extent discrete transport can make use of microstructure in the mesh to reduce the cost of transport. acknowledgement: J.M. gratefully acknowledges support by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 716117). J.M. and L.P. also acknowledge support from the Austrian Science Fund (FWF), grants No F65 and W1245. E.K. gratefully acknowledges support by the German Research Foundation through the Hausdorff Center for Mathematics and the Collaborative Research Center 1060. P.G. is partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 350398276. article_processing_charge: No article_type: original author: - first_name: Peter full_name: Gladbach, Peter last_name: Gladbach - first_name: Eva full_name: Kopfer, Eva last_name: Kopfer - first_name: Jan full_name: Maas, Jan id: 4C5696CE-F248-11E8-B48F-1D18A9856A87 last_name: Maas orcid: 0000-0002-0845-1338 - first_name: Lorenzo full_name: Portinale, Lorenzo id: 30AD2CBC-F248-11E8-B48F-1D18A9856A87 last_name: Portinale citation: ama: Gladbach P, Kopfer E, Maas J, Portinale L. Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. 2020;139(7):204-234. doi:10.1016/j.matpur.2020.02.008 apa: Gladbach, P., Kopfer, E., Maas, J., & Portinale, L. (2020). Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. Elsevier. https://doi.org/10.1016/j.matpur.2020.02.008 chicago: Gladbach, Peter, Eva Kopfer, Jan Maas, and Lorenzo Portinale. “Homogenisation of One-Dimensional Discrete Optimal Transport.” Journal de Mathematiques Pures et Appliquees. Elsevier, 2020. https://doi.org/10.1016/j.matpur.2020.02.008. ieee: P. Gladbach, E. Kopfer, J. Maas, and L. Portinale, “Homogenisation of one-dimensional discrete optimal transport,” Journal de Mathematiques Pures et Appliquees, vol. 139, no. 7. Elsevier, pp. 204–234, 2020. ista: Gladbach P, Kopfer E, Maas J, Portinale L. 2020. Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. 139(7), 204–234. mla: Gladbach, Peter, et al. “Homogenisation of One-Dimensional Discrete Optimal Transport.” Journal de Mathematiques Pures et Appliquees, vol. 139, no. 7, Elsevier, 2020, pp. 204–34, doi:10.1016/j.matpur.2020.02.008. short: P. Gladbach, E. Kopfer, J. Maas, L. Portinale, Journal de Mathematiques Pures et Appliquees 139 (2020) 204–234. date_created: 2020-03-08T23:00:47Z date_published: 2020-07-01T00:00:00Z date_updated: 2023-09-07T13:31:05Z day: '01' department: - _id: JaMa doi: 10.1016/j.matpur.2020.02.008 ec_funded: 1 external_id: arxiv: - '1905.05757' isi: - '000539439400008' intvolume: ' 139' isi: 1 issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1905.05757 month: '07' oa: 1 oa_version: Preprint page: 204-234 project: - _id: 256E75B8-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '716117' name: Optimal Transport and Stochastic Dynamics - _id: 260482E2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: ' F06504' name: Taming Complexity in Partial Di erential Systems - _id: 260788DE-B435-11E9-9278-68D0E5697425 call_identifier: FWF name: Dissipation and Dispersion in Nonlinear Partial Differential Equations publication: Journal de Mathematiques Pures et Appliquees publication_identifier: issn: - '00217824' publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '10030' relation: dissertation_contains status: public scopus_import: '1' status: public title: Homogenisation of one-dimensional discrete optimal transport type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 139 year: '2020' ... --- _id: '10022' abstract: - lang: eng text: We consider finite-volume approximations of Fokker-Planck equations on bounded convex domains in R^d and study the corresponding gradient flow structures. We reprove the convergence of the discrete to continuous Fokker-Planck equation via the method of Evolutionary Γ-convergence, i.e., we pass to the limit at the level of the gradient flow structures, generalising the one-dimensional result obtained by Disser and Liero. The proof is of variational nature and relies on a Mosco convergence result for functionals in the discrete-to-continuum limit that is of independent interest. Our results apply to arbitrary regular meshes, even though the associated discrete transport distances may fail to converge to the Wasserstein distance in this generality. acknowledgement: This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 716117) and by the Austrian Science Fund (FWF), grants No F65 and W1245. article_number: '2008.10962' article_processing_charge: No author: - first_name: Dominik L full_name: Forkert, Dominik L id: 35C79D68-F248-11E8-B48F-1D18A9856A87 last_name: Forkert - first_name: Jan full_name: Maas, Jan id: 4C5696CE-F248-11E8-B48F-1D18A9856A87 last_name: Maas orcid: 0000-0002-0845-1338 - first_name: Lorenzo full_name: Portinale, Lorenzo id: 30AD2CBC-F248-11E8-B48F-1D18A9856A87 last_name: Portinale citation: ama: Forkert DL, Maas J, Portinale L. Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv. apa: Forkert, D. L., Maas, J., & Portinale, L. (n.d.). Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv. chicago: Forkert, Dominik L, Jan Maas, and Lorenzo Portinale. “Evolutionary Γ-Convergence of Entropic Gradient Flow Structures for Fokker-Planck Equations in Multiple Dimensions.” ArXiv, n.d. ieee: D. L. Forkert, J. Maas, and L. Portinale, “Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions,” arXiv. . ista: Forkert DL, Maas J, Portinale L. Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv, 2008.10962. mla: Forkert, Dominik L., et al. “Evolutionary Γ-Convergence of Entropic Gradient Flow Structures for Fokker-Planck Equations in Multiple Dimensions.” ArXiv, 2008.10962. short: D.L. Forkert, J. Maas, L. Portinale, ArXiv (n.d.). date_created: 2021-09-17T10:57:27Z date_published: 2020-08-25T00:00:00Z date_updated: 2023-09-07T13:31:05Z day: '25' department: - _id: JaMa ec_funded: 1 external_id: arxiv: - '2008.10962' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2008.10962 month: '08' oa: 1 oa_version: Preprint page: '33' project: - _id: 256E75B8-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '716117' name: Optimal Transport and Stochastic Dynamics - _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2 grant_number: F6504 name: Taming Complexity in Partial Differential Systems publication: arXiv publication_status: submitted related_material: record: - id: '11739' relation: later_version status: public - id: '10030' relation: dissertation_contains status: public status: public title: Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions type: preprint user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2020' ... --- _id: '8724' abstract: - lang: eng text: "We study the problem of learning from multiple untrusted data sources, a scenario of increasing practical relevance given the recent emergence of crowdsourcing and collaborative learning paradigms. Specifically, we analyze the situation in which a learning system obtains datasets from multiple sources, some of which might be biased or even adversarially perturbed. It is\r\nknown that in the single-source case, an adversary with the power to corrupt a fixed fraction of the training data can prevent PAC-learnability, that is, even in the limit of infinitely much training data, no learning system can approach the optimal test error. In this work we show that, surprisingly, the same is not true in the multi-source setting, where the adversary can arbitrarily\r\ncorrupt a fixed fraction of the data sources. Our main results are a generalization bound that provides finite-sample guarantees for this learning setting, as well as corresponding lower bounds. Besides establishing PAC-learnability our results also show that in a cooperative learning setting sharing data with other parties has provable benefits, even if some\r\nparticipants are malicious. " acknowledged_ssus: - _id: ScienComp acknowledgement: Dan Alistarh is supported in part by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp). article_processing_charge: No author: - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov - first_name: Elias full_name: Frantar, Elias id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f last_name: Frantar - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.' apa: 'Konstantinov, N. H., Frantar, E., Alistarh, D.-A., & Lampert, C. (2020). On the sample complexity of adversarial multi-source PAC learning. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 5416–5425). Online: ML Research Press.' chicago: Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020. ieee: N. H. Konstantinov, E. Frantar, D.-A. Alistarh, and C. Lampert, “On the sample complexity of adversarial multi-source PAC learning,” in Proceedings of the 37th International Conference on Machine Learning, Online, 2020, vol. 119, pp. 5416–5425. ista: 'Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. 2020. On the sample complexity of adversarial multi-source PAC learning. Proceedings of the 37th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 119, 5416–5425.' mla: Konstantinov, Nikola H., et al. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 5416–25. short: N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425. conference: end_date: 2020-07-18 location: Online name: 'ICML: International Conference on Machine Learning' start_date: 2020-07-12 date_created: 2020-11-05T15:25:58Z date_published: 2020-07-12T00:00:00Z date_updated: 2023-09-07T13:42:08Z day: '12' ddc: - '000' department: - _id: DaAl - _id: ChLa ec_funded: 1 external_id: arxiv: - '2002.10384' file: - access_level: open_access checksum: cc755d0054bc4b2be778ea7aa7884d2f content_type: application/pdf creator: dernst date_created: 2021-02-15T09:00:01Z date_updated: 2021-02-15T09:00:01Z file_id: '9120' file_name: 2020_PMLR_Konstantinov.pdf file_size: 281286 relation: main_file success: 1 file_date_updated: 2021-02-15T09:00:01Z has_accepted_license: '1' intvolume: ' 119' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 5416-5425 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: Proceedings of the 37th International Conference on Machine Learning publication_identifier: issn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: link: - relation: supplementary_material url: http://proceedings.mlr.press/v119/konstantinov20a/konstantinov20a-supp.pdf record: - id: '10799' relation: dissertation_contains status: public scopus_import: '1' status: public title: On the sample complexity of adversarial multi-source PAC learning type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 119 year: '2020' ... --- _id: '8644' abstract: - lang: eng text: Determining the phase diagram of systems consisting of smaller subsystems 'connected' via a tunable coupling is a challenging task relevant for a variety of physical settings. A general question is whether new phases, not present in the uncoupled limit, may arise. We use machine learning and a suitable quasidistance between different points of the phase diagram to study layered spin models, in which the spin variables constituting each of the uncoupled systems (to which we refer as layers) are coupled to each other via an interlayer coupling. In such systems, in general, composite order parameters involving spins of different layers may emerge as a consequence of the interlayer coupling. We focus on the layered Ising and Ashkin–Teller models as a paradigmatic case study, determining their phase diagram via the application of a machine learning algorithm to the Monte Carlo data. Remarkably our technique is able to correctly characterize all the system phases also in the case of hidden order parameters, i.e. order parameters whose expression in terms of the microscopic configurations would require additional preprocessing of the data fed to the algorithm. We correctly retrieve the three known phases of the Ashkin–Teller model with ferromagnetic couplings, including the phase described by a composite order parameter. For the bilayer and trilayer Ising models the phases we find are only the ferromagnetic and the paramagnetic ones. Within the approach we introduce, owing to the construction of convolutional neural networks, naturally suitable for layered image-like data with arbitrary number of layers, no preprocessing of the Monte Carlo data is needed, also with regard to its spatial structure. The physical meaning of our results is discussed and compared with analytical data, where available. Yet, the method can be used without any a priori knowledge of the phases one seeks to find and can be applied to other models and structures. acknowledgement: We thank Gesualdo Delfino, Michele Fabrizio, Piero Ferrarese, Robert Konik, Christoph Lampert and Mikhail Lemeshko for stimulating discussions at various stages of this work. WR has received funding from the EU Horizon 2020 program under the Marie Skłodowska-Curie Grant Agreement No. 665385 and is a recipient of a DOC Fellowship of the Austrian Academy of Sciences. GB acknowledges support from the Austrian Science Fund (FWF), under project No. M2641-N27. ND acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) via Collaborative Research Center SFB 1225 (ISOQUANT)--project-id 273811115--and under Germany's Excellence Strategy 'EXC-2181/1-390900948' (the Heidelberg STRUCTURES Excellence Cluster). article_number: '093026' article_processing_charge: No article_type: original author: - first_name: Wojciech full_name: Rzadkowski, Wojciech id: 48C55298-F248-11E8-B48F-1D18A9856A87 last_name: Rzadkowski orcid: 0000-0002-1106-4419 - first_name: N full_name: Defenu, N last_name: Defenu - first_name: S full_name: Chiacchiera, S last_name: Chiacchiera - first_name: A full_name: Trombettoni, A last_name: Trombettoni - first_name: Giacomo full_name: Bighin, Giacomo id: 4CA96FD4-F248-11E8-B48F-1D18A9856A87 last_name: Bighin orcid: 0000-0001-8823-9777 citation: ama: Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. Detecting composite orders in layered models via machine learning. New Journal of Physics. 2020;22(9). doi:10.1088/1367-2630/abae44 apa: Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin, G. (2020). Detecting composite orders in layered models via machine learning. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44 chicago: Rzadkowski, Wojciech, N Defenu, S Chiacchiera, A Trombettoni, and Giacomo Bighin. “Detecting Composite Orders in Layered Models via Machine Learning.” New Journal of Physics. IOP Publishing, 2020. https://doi.org/10.1088/1367-2630/abae44. ieee: W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, and G. Bighin, “Detecting composite orders in layered models via machine learning,” New Journal of Physics, vol. 22, no. 9. IOP Publishing, 2020. ista: Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. 2020. Detecting composite orders in layered models via machine learning. New Journal of Physics. 22(9), 093026. mla: Rzadkowski, Wojciech, et al. “Detecting Composite Orders in Layered Models via Machine Learning.” New Journal of Physics, vol. 22, no. 9, 093026, IOP Publishing, 2020, doi:10.1088/1367-2630/abae44. short: W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, G. Bighin, New Journal of Physics 22 (2020). date_created: 2020-10-11T22:01:14Z date_published: 2020-09-01T00:00:00Z date_updated: 2023-09-07T13:44:16Z day: '01' ddc: - '530' department: - _id: MiLe doi: 10.1088/1367-2630/abae44 ec_funded: 1 external_id: isi: - '000573298000001' file: - access_level: open_access checksum: c9238fff422e7a957c3a0d559f756b3a content_type: application/pdf creator: dernst date_created: 2020-10-12T12:18:47Z date_updated: 2020-10-12T12:18:47Z file_id: '8650' file_name: 2020_NewJournalPhysics_Rzdkowski.pdf file_size: 2725143 relation: main_file success: 1 file_date_updated: 2020-10-12T12:18:47Z has_accepted_license: '1' intvolume: ' 22' isi: 1 issue: '9' language: - iso: eng month: '09' 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: 05A235A0-7A3F-11EA-A408-12923DDC885E grant_number: '25681' name: Analytic and machine learning approaches to composite quantum impurities - _id: 26986C82-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02641 name: A path-integral approach to composite impurities publication: New Journal of Physics publication_identifier: issn: - '13672630' publication_status: published publisher: IOP Publishing quality_controlled: '1' related_material: record: - id: '10759' relation: dissertation_contains status: public scopus_import: '1' status: public title: Detecting composite orders in layered models via machine learning 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: 22 year: '2020' ... --- _id: '8705' abstract: - lang: eng text: We consider the quantum mechanical many-body problem of a single impurity particle immersed in a weakly interacting Bose gas. The impurity interacts with the bosons via a two-body potential. We study the Hamiltonian of this system in the mean-field limit and rigorously show that, at low energies, the problem is well described by the Fröhlich polaron model. acknowledgement: Financial support through the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme Grant agreement No. 694227 (R.S.) and the Maria Skłodowska-Curie Grant agreement No. 665386 (K.M.) is gratefully acknowledged. Funding Open access funding provided by Institute of Science and Technology (IST Austria) article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Krzysztof full_name: Mysliwy, Krzysztof id: 316457FC-F248-11E8-B48F-1D18A9856A87 last_name: Mysliwy - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 citation: ama: Mysliwy K, Seiringer R. Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. 2020;21(12):4003-4025. doi:10.1007/s00023-020-00969-3 apa: Mysliwy, K., & Seiringer, R. (2020). Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. Springer Nature. https://doi.org/10.1007/s00023-020-00969-3 chicago: Mysliwy, Krzysztof, and Robert Seiringer. “Microscopic Derivation of the Fröhlich Hamiltonian for the Bose Polaron in the Mean-Field Limit.” Annales Henri Poincare. Springer Nature, 2020. https://doi.org/10.1007/s00023-020-00969-3. ieee: K. Mysliwy and R. Seiringer, “Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit,” Annales Henri Poincare, vol. 21, no. 12. Springer Nature, pp. 4003–4025, 2020. ista: Mysliwy K, Seiringer R. 2020. Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. 21(12), 4003–4025. mla: Mysliwy, Krzysztof, and Robert Seiringer. “Microscopic Derivation of the Fröhlich Hamiltonian for the Bose Polaron in the Mean-Field Limit.” Annales Henri Poincare, vol. 21, no. 12, Springer Nature, 2020, pp. 4003–25, doi:10.1007/s00023-020-00969-3. short: K. Mysliwy, R. Seiringer, Annales Henri Poincare 21 (2020) 4003–4025. date_created: 2020-10-25T23:01:19Z date_published: 2020-12-01T00:00:00Z date_updated: 2023-09-07T13:43:51Z day: '01' ddc: - '530' department: - _id: RoSe doi: 10.1007/s00023-020-00969-3 ec_funded: 1 external_id: arxiv: - '2003.12371' isi: - '000578111800002' file: - access_level: open_access checksum: c12c9c1e6f08def245e42f3cb1d83827 content_type: application/pdf creator: cziletti date_created: 2020-10-27T12:49:04Z date_updated: 2020-10-27T12:49:04Z file_id: '8711' file_name: 2020_Annales_Mysliwy.pdf file_size: 469831 relation: main_file success: 1 file_date_updated: 2020-10-27T12:49:04Z has_accepted_license: '1' intvolume: ' 21' isi: 1 issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 4003-4025 project: - _id: 25C6DC12-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '694227' name: Analysis of quantum many-body systems - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Annales Henri Poincare publication_identifier: issn: - 1424-0637 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '11473' relation: dissertation_contains status: public scopus_import: '1' status: public title: Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit 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: 21 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: '14125' abstract: - lang: eng text: "Motivation: Recent technological advances have led to an increase in the production and availability of single-cell data. The ability to integrate a set of multi-technology measurements would allow the identification of biologically or clinically meaningful observations through the unification of the perspectives afforded by each technology. In most cases, however, profiling technologies consume the used cells and thus pairwise correspondences between datasets are lost. Due to the sheer size single-cell datasets can acquire, scalable algorithms that are able to universally match single-cell measurements carried out in one cell to its corresponding sibling in another technology are needed.\r\nResults: We propose Single-Cell data Integration via Matching (SCIM), a scalable approach to recover such correspondences in two or more technologies. SCIM assumes that cells share a common (low-dimensional) underlying structure and that the underlying cell distribution is approximately constant across technologies. It constructs a technology-invariant latent space using an autoencoder framework with an adversarial objective. Multi-modal datasets are integrated by pairing cells across technologies using a bipartite matching scheme that operates on the low-dimensional latent representations. We evaluate SCIM on a simulated cellular branching process and show that the cell-to-cell matches derived by SCIM reflect the same pseudotime on the simulated dataset. Moreover, we apply our method to two real-world scenarios, a melanoma tumor sample and a human bone marrow sample, where we pair cells from a scRNA dataset to their sibling cells in a CyTOF dataset achieving 90% and 78% cell-matching accuracy for each one of the samples, respectively." article_processing_charge: No article_type: original author: - first_name: Stefan G full_name: Stark, Stefan G last_name: Stark - first_name: Joanna full_name: Ficek, Joanna last_name: Ficek - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Ximena full_name: Bonilla, Ximena last_name: Bonilla - first_name: Stéphane full_name: Chevrier, Stéphane last_name: Chevrier - first_name: Franziska full_name: Singer, Franziska last_name: Singer - first_name: Rudolf full_name: Aebersold, Rudolf last_name: Aebersold - first_name: Faisal S full_name: Al-Quaddoomi, Faisal S last_name: Al-Quaddoomi - first_name: Jonas full_name: Albinus, Jonas last_name: Albinus - first_name: Ilaria full_name: Alborelli, Ilaria last_name: Alborelli - first_name: Sonali full_name: Andani, Sonali last_name: Andani - first_name: Per-Olof full_name: Attinger, Per-Olof last_name: Attinger - first_name: Marina full_name: Bacac, Marina last_name: Bacac - first_name: Daniel full_name: Baumhoer, Daniel last_name: Baumhoer - first_name: Beatrice full_name: Beck-Schimmer, Beatrice last_name: Beck-Schimmer - first_name: Niko full_name: Beerenwinkel, Niko last_name: Beerenwinkel - first_name: Christian full_name: Beisel, Christian last_name: Beisel - first_name: Lara full_name: Bernasconi, Lara last_name: Bernasconi - first_name: Anne full_name: Bertolini, Anne last_name: Bertolini - first_name: Bernd full_name: Bodenmiller, Bernd last_name: Bodenmiller - first_name: Ximena full_name: Bonilla, Ximena last_name: Bonilla - first_name: Ruben full_name: Casanova, Ruben last_name: Casanova - first_name: Stéphane full_name: Chevrier, Stéphane last_name: Chevrier - first_name: Natalia full_name: Chicherova, Natalia last_name: Chicherova - first_name: Maya full_name: D'Costa, Maya last_name: D'Costa - first_name: Esther full_name: Danenberg, Esther last_name: Danenberg - first_name: Natalie full_name: Davidson, Natalie last_name: Davidson - first_name: Monica-Andreea Dră full_name: gan, Monica-Andreea Dră last_name: gan - first_name: Reinhard full_name: Dummer, Reinhard last_name: Dummer - first_name: Stefanie full_name: Engler, Stefanie last_name: Engler - first_name: Martin full_name: Erkens, Martin last_name: Erkens - first_name: Katja full_name: Eschbach, Katja last_name: Eschbach - first_name: Cinzia full_name: Esposito, Cinzia last_name: Esposito - first_name: André full_name: Fedier, André last_name: Fedier - first_name: Pedro full_name: Ferreira, Pedro last_name: Ferreira - first_name: Joanna full_name: Ficek, Joanna last_name: Ficek - first_name: Anja L full_name: Frei, Anja L last_name: Frei - first_name: Bruno full_name: Frey, Bruno last_name: Frey - first_name: Sandra full_name: Goetze, Sandra last_name: Goetze - first_name: Linda full_name: Grob, Linda last_name: Grob - first_name: Gabriele full_name: Gut, Gabriele last_name: Gut - first_name: Detlef full_name: Günther, Detlef last_name: Günther - first_name: Martina full_name: Haberecker, Martina last_name: Haberecker - first_name: Pirmin full_name: Haeuptle, Pirmin last_name: Haeuptle - first_name: Viola full_name: Heinzelmann-Schwarz, Viola last_name: Heinzelmann-Schwarz - first_name: Sylvia full_name: Herter, Sylvia last_name: Herter - first_name: Rene full_name: Holtackers, Rene last_name: Holtackers - first_name: Tamara full_name: Huesser, Tamara last_name: Huesser - first_name: Anja full_name: Irmisch, Anja last_name: Irmisch - first_name: Francis full_name: Jacob, Francis last_name: Jacob - first_name: Andrea full_name: Jacobs, Andrea last_name: Jacobs - first_name: Tim M full_name: Jaeger, Tim M last_name: Jaeger - first_name: Katharina full_name: Jahn, Katharina last_name: Jahn - first_name: Alva R full_name: James, Alva R last_name: James - first_name: Philip M full_name: Jermann, Philip M last_name: Jermann - first_name: André full_name: Kahles, André last_name: Kahles - first_name: Abdullah full_name: Kahraman, Abdullah last_name: Kahraman - first_name: Viktor H full_name: Koelzer, Viktor H last_name: Koelzer - first_name: Werner full_name: Kuebler, Werner last_name: Kuebler - first_name: Jack full_name: Kuipers, Jack last_name: Kuipers - first_name: Christian P full_name: Kunze, Christian P last_name: Kunze - first_name: Christian full_name: Kurzeder, Christian last_name: Kurzeder - first_name: Kjong-Van full_name: Lehmann, Kjong-Van last_name: Lehmann - first_name: Mitchell full_name: Levesque, Mitchell last_name: Levesque - first_name: Sebastian full_name: Lugert, Sebastian last_name: Lugert - first_name: Gerd full_name: Maass, Gerd last_name: Maass - first_name: Markus full_name: Manz, Markus last_name: Manz - first_name: Philipp full_name: Markolin, Philipp last_name: Markolin - first_name: Julien full_name: Mena, Julien last_name: Mena - first_name: Ulrike full_name: Menzel, Ulrike last_name: Menzel - first_name: Julian M full_name: Metzler, Julian M last_name: Metzler - first_name: Nicola full_name: Miglino, Nicola last_name: Miglino - first_name: Emanuela S full_name: Milani, Emanuela S last_name: Milani - first_name: Holger full_name: Moch, Holger last_name: Moch - first_name: Simone full_name: Muenst, Simone last_name: Muenst - first_name: Riccardo full_name: Murri, Riccardo last_name: Murri - first_name: Charlotte KY full_name: Ng, Charlotte KY last_name: Ng - first_name: Stefan full_name: Nicolet, Stefan last_name: Nicolet - first_name: Marta full_name: Nowak, Marta last_name: Nowak - first_name: Patrick GA full_name: Pedrioli, Patrick GA last_name: Pedrioli - first_name: Lucas full_name: Pelkmans, Lucas last_name: Pelkmans - first_name: Salvatore full_name: Piscuoglio, Salvatore last_name: Piscuoglio - first_name: Michael full_name: Prummer, Michael last_name: Prummer - first_name: Mathilde full_name: Ritter, Mathilde last_name: Ritter - first_name: Christian full_name: Rommel, Christian last_name: Rommel - first_name: María L full_name: Rosano-González, María L last_name: Rosano-González - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Natascha full_name: Santacroce, Natascha last_name: Santacroce - first_name: Jacobo Sarabia del full_name: Castillo, Jacobo Sarabia del last_name: Castillo - first_name: Ramona full_name: Schlenker, Ramona last_name: Schlenker - first_name: Petra C full_name: Schwalie, Petra C last_name: Schwalie - first_name: Severin full_name: Schwan, Severin last_name: Schwan - first_name: Tobias full_name: Schär, Tobias last_name: Schär - first_name: Gabriela full_name: Senti, Gabriela last_name: Senti - first_name: Franziska full_name: Singer, Franziska last_name: Singer - first_name: Sujana full_name: Sivapatham, Sujana last_name: Sivapatham - first_name: Berend full_name: Snijder, Berend last_name: Snijder - first_name: Bettina full_name: Sobottka, Bettina last_name: Sobottka - first_name: Vipin T full_name: Sreedharan, Vipin T last_name: Sreedharan - first_name: Stefan full_name: Stark, Stefan last_name: Stark - first_name: Daniel J full_name: Stekhoven, Daniel J last_name: Stekhoven - first_name: Alexandre PA full_name: Theocharides, Alexandre PA last_name: Theocharides - first_name: Tinu M full_name: Thomas, Tinu M last_name: Thomas - first_name: Markus full_name: Tolnay, Markus last_name: Tolnay - first_name: Vinko full_name: Tosevski, Vinko last_name: Tosevski - first_name: Nora C full_name: Toussaint, Nora C last_name: Toussaint - first_name: Mustafa A full_name: Tuncel, Mustafa A last_name: Tuncel - first_name: Marina full_name: Tusup, Marina last_name: Tusup - first_name: Audrey Van full_name: Drogen, Audrey Van last_name: Drogen - first_name: Marcus full_name: Vetter, Marcus last_name: Vetter - first_name: Tatjana full_name: Vlajnic, Tatjana last_name: Vlajnic - first_name: Sandra full_name: Weber, Sandra last_name: Weber - first_name: Walter P full_name: Weber, Walter P last_name: Weber - first_name: Rebekka full_name: Wegmann, Rebekka last_name: Wegmann - first_name: Michael full_name: Weller, Michael last_name: Weller - first_name: Fabian full_name: Wendt, Fabian last_name: Wendt - first_name: Norbert full_name: Wey, Norbert last_name: Wey - first_name: Andreas full_name: Wicki, Andreas last_name: Wicki - first_name: Bernd full_name: Wollscheid, Bernd last_name: Wollscheid - first_name: Shuqing full_name: Yu, Shuqing last_name: Yu - first_name: Johanna full_name: Ziegler, Johanna last_name: Ziegler - first_name: Marc full_name: Zimmermann, Marc last_name: Zimmermann - first_name: Martin full_name: Zoche, Martin last_name: Zoche - first_name: Gregor full_name: Zuend, Gregor last_name: Zuend - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Kjong-Van full_name: Lehmann, Kjong-Van last_name: Lehmann citation: ama: 'Stark SG, Ficek J, Locatello F, et al. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 2020;36(Supplement_2):i919-i927. doi:10.1093/bioinformatics/btaa843' apa: 'Stark, S. G., Ficek, J., Locatello, F., Bonilla, X., Chevrier, S., Singer, F., … Lehmann, K.-V. (2020). SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btaa843' chicago: 'Stark, Stefan G, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Rudolf Aebersold, et al. “SCIM: Universal Single-Cell Matching with Unpaired Feature Sets.” Bioinformatics. Oxford University Press, 2020. https://doi.org/10.1093/bioinformatics/btaa843.' ieee: 'S. G. Stark et al., “SCIM: Universal single-cell matching with unpaired feature sets,” Bioinformatics, vol. 36, no. Supplement_2. Oxford University Press, pp. i919–i927, 2020.' ista: 'Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.' mla: 'Stark, Stefan G., et al. “SCIM: Universal Single-Cell Matching with Unpaired Feature Sets.” Bioinformatics, vol. 36, no. Supplement_2, Oxford University Press, 2020, pp. i919–27, doi:10.1093/bioinformatics/btaa843.' short: S.G. Stark, J. Ficek, F. Locatello, X. Bonilla, S. Chevrier, F. Singer, R. Aebersold, F.S. Al-Quaddoomi, J. Albinus, I. Alborelli, S. Andani, P.-O. Attinger, M. Bacac, D. Baumhoer, B. Beck-Schimmer, N. Beerenwinkel, C. Beisel, L. Bernasconi, A. Bertolini, B. Bodenmiller, X. Bonilla, R. Casanova, S. Chevrier, N. Chicherova, M. D’Costa, E. Danenberg, N. Davidson, M.-A.D. gan, R. Dummer, S. Engler, M. Erkens, K. Eschbach, C. Esposito, A. Fedier, P. Ferreira, J. Ficek, A.L. Frei, B. Frey, S. Goetze, L. Grob, G. Gut, D. Günther, M. Haberecker, P. Haeuptle, V. Heinzelmann-Schwarz, S. Herter, R. Holtackers, T. Huesser, A. Irmisch, F. Jacob, A. Jacobs, T.M. Jaeger, K. Jahn, A.R. James, P.M. Jermann, A. Kahles, A. Kahraman, V.H. Koelzer, W. Kuebler, J. Kuipers, C.P. Kunze, C. Kurzeder, K.-V. Lehmann, M. Levesque, S. Lugert, G. Maass, M. Manz, P. Markolin, J. Mena, U. Menzel, J.M. Metzler, N. Miglino, E.S. Milani, H. Moch, S. Muenst, R. Murri, C.K. Ng, S. Nicolet, M. Nowak, P.G. Pedrioli, L. Pelkmans, S. Piscuoglio, M. Prummer, M. Ritter, C. Rommel, M.L. Rosano-González, G. Rätsch, N. Santacroce, J.S. del Castillo, R. Schlenker, P.C. Schwalie, S. Schwan, T. Schär, G. Senti, F. Singer, S. Sivapatham, B. Snijder, B. Sobottka, V.T. Sreedharan, S. Stark, D.J. Stekhoven, A.P. Theocharides, T.M. Thomas, M. Tolnay, V. Tosevski, N.C. Toussaint, M.A. Tuncel, M. Tusup, A.V. Drogen, M. Vetter, T. Vlajnic, S. Weber, W.P. Weber, R. Wegmann, M. Weller, F. Wendt, N. Wey, A. Wicki, B. Wollscheid, S. Yu, J. Ziegler, M. Zimmermann, M. Zoche, G. Zuend, G. Rätsch, K.-V. Lehmann, Bioinformatics 36 (2020) i919–i927. date_created: 2023-08-21T12:28:20Z date_published: 2020-12-01T00:00:00Z date_updated: 2023-09-11T10:21:00Z day: '01' department: - _id: FrLo doi: 10.1093/bioinformatics/btaa843 extern: '1' external_id: pmid: - '33381818' intvolume: ' 36' issue: Supplement_2 keyword: - Computational Mathematics - Computational Theory and Mathematics - Computer Science Applications - Molecular Biology - Biochemistry - Statistics and Probability language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1093/bioinformatics/btaa843 month: '12' oa: 1 oa_version: Published Version page: i919-i927 pmid: 1 publication: Bioinformatics publication_identifier: eissn: - 1367-4811 publication_status: published publisher: Oxford University Press quality_controlled: '1' related_material: link: - relation: software url: https://github.com/ratschlab/scim scopus_import: '1' status: public title: 'SCIM: Universal single-cell matching with unpaired feature sets' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2020' ... --- _id: '14186' abstract: - lang: eng text: "The goal of the unsupervised learning of disentangled representations is to\r\nseparate the independent explanatory factors of variation in the data without\r\naccess to supervision. In this paper, we summarize the results of Locatello et\r\nal., 2019, and focus on their implications for practitioners. We discuss the\r\ntheoretical result showing that the unsupervised learning of disentangled\r\nrepresentations is fundamentally impossible without inductive biases and the\r\npractical challenges it entails. Finally, we comment on our experimental\r\nfindings, highlighting the limitations of state-of-the-art approaches and\r\ndirections for future research." article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Stefan full_name: Bauer, Stefan last_name: Bauer - first_name: Mario full_name: Lucic, Mario last_name: Lucic - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Sylvain full_name: Gelly, Sylvain last_name: Gelly - first_name: Bernhard full_name: Schölkopf, Bernhard last_name: Schölkopf - first_name: Olivier full_name: Bachem, Olivier last_name: Bachem citation: ama: 'Locatello F, Bauer S, Lucic M, et al. A commentary on the unsupervised learning of disentangled representations. In: The 34th AAAI Conference on Artificial Intelligence. Vol 34. Association for the Advancement of Artificial Intelligence; 2020:13681-13684. doi:10.1609/aaai.v34i09.7120' apa: 'Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., & Bachem, O. (2020). A commentary on the unsupervised learning of disentangled representations. In The 34th AAAI Conference on Artificial Intelligence (Vol. 34, pp. 13681–13684). New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i09.7120' chicago: Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “A Commentary on the Unsupervised Learning of Disentangled Representations.” In The 34th AAAI Conference on Artificial Intelligence, 34:13681–84. Association for the Advancement of Artificial Intelligence, 2020. https://doi.org/10.1609/aaai.v34i09.7120. ieee: F. Locatello et al., “A commentary on the unsupervised learning of disentangled representations,” in The 34th AAAI Conference on Artificial Intelligence, New York, NY, United States, 2020, vol. 34, no. 9, pp. 13681–13684. ista: 'Locatello F, Bauer S, Lucic M, Rätsch G, Gelly S, Schölkopf B, Bachem O. 2020. A commentary on the unsupervised learning of disentangled representations. The 34th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 34, 13681–13684.' mla: Locatello, Francesco, et al. “A Commentary on the Unsupervised Learning of Disentangled Representations.” The 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 9, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–84, doi:10.1609/aaai.v34i09.7120. short: F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, The 34th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–13684. 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: 2023-08-22T14:07:26Z date_published: 2020-07-28T00:00:00Z date_updated: 2023-09-12T07:44:48Z day: '28' department: - _id: FrLo doi: 10.1609/aaai.v34i09.7120 extern: '1' external_id: arxiv: - '2007.14184' intvolume: ' 34' issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2007.14184 month: '07' oa: 1 oa_version: Preprint page: 13681-13684 publication: The 34th AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - '9781577358350' publication_status: published publisher: Association for the Advancement of Artificial Intelligence quality_controlled: '1' scopus_import: '1' status: public title: A commentary on the unsupervised learning of disentangled representations type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2020' ... --- _id: '14188' abstract: - lang: eng text: "Intelligent agents should be able to learn useful representations by\r\nobserving changes in their environment. We model such observations as pairs of\r\nnon-i.i.d. images sharing at least one of the underlying factors of variation.\r\nFirst, we theoretically show that only knowing how many factors have changed,\r\nbut not which ones, is sufficient to learn disentangled representations.\r\nSecond, we provide practical algorithms that learn disentangled representations\r\nfrom pairs of images without requiring annotation of groups, individual\r\nfactors, or the number of factors that have changed. Third, we perform a\r\nlarge-scale empirical study and show that such pairs of observations are\r\nsufficient to reliably learn disentangled representations on several benchmark\r\ndata sets. Finally, we evaluate our learned representations and find that they\r\nare simultaneously useful on a diverse suite of tasks, including generalization\r\nunder covariate shifts, fairness, and abstract reasoning. Overall, our results\r\ndemonstrate that weak supervision enables learning of useful disentangled\r\nrepresentations in realistic scenarios." alternative_title: - PMLR article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Ben full_name: Poole, Ben last_name: Poole - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Bernhard full_name: Schölkopf, Bernhard last_name: Schölkopf - first_name: Olivier full_name: Bachem, Olivier last_name: Bachem - first_name: Michael full_name: Tschannen, Michael last_name: Tschannen citation: ama: 'Locatello F, Poole B, Rätsch G, Schölkopf B, Bachem O, Tschannen M. Weakly-supervised disentanglement without compromises. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:6348–6359.' apa: Locatello, F., Poole, B., Rätsch, G., Schölkopf, B., Bachem, O., & Tschannen, M. (2020). Weakly-supervised disentanglement without compromises. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 6348–6359). Virtual. chicago: Locatello, Francesco, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, and Michael Tschannen. “Weakly-Supervised Disentanglement without Compromises.” In Proceedings of the 37th International Conference on Machine Learning, 119:6348–6359, 2020. ieee: F. Locatello, B. Poole, G. Rätsch, B. Schölkopf, O. Bachem, and M. Tschannen, “Weakly-supervised disentanglement without compromises,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, vol. 119, pp. 6348–6359. ista: Locatello F, Poole B, Rätsch G, Schölkopf B, Bachem O, Tschannen M. 2020. Weakly-supervised disentanglement without compromises. Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 119, 6348–6359. mla: Locatello, Francesco, et al. “Weakly-Supervised Disentanglement without Compromises.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 6348–6359. short: F. Locatello, B. Poole, G. Rätsch, B. Schölkopf, O. Bachem, M. Tschannen, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 6348–6359. conference: end_date: 2020-07-18 location: Virtual name: International Conference on Machine Learning start_date: 2020-07-13 date_created: 2023-08-22T14:08:14Z date_published: 2020-07-07T00:00:00Z date_updated: 2023-09-12T07:59:29Z day: '07' department: - _id: FrLo extern: '1' external_id: arxiv: - '2002.02886' intvolume: ' 119' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2002.02886 month: '07' oa: 1 oa_version: Preprint page: 6348–6359 publication: Proceedings of the 37th International Conference on Machine Learning publication_status: published quality_controlled: '1' scopus_import: '1' status: public title: Weakly-supervised disentanglement without compromises type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 119 year: '2020' ... --- _id: '14187' abstract: - lang: eng text: "We propose a novel Stochastic Frank-Wolfe (a.k.a. conditional gradient)\r\nalgorithm for constrained smooth finite-sum minimization with a generalized\r\nlinear prediction/structure. This class of problems includes empirical risk\r\nminimization with sparse, low-rank, or other structured constraints. The\r\nproposed method is simple to implement, does not require step-size tuning, and\r\nhas a constant per-iteration cost that is independent of the dataset size.\r\nFurthermore, as a byproduct of the method we obtain a stochastic estimator of\r\nthe Frank-Wolfe gap that can be used as a stopping criterion. Depending on the\r\nsetting, the proposed method matches or improves on the best computational\r\nguarantees for Stochastic Frank-Wolfe algorithms. Benchmarks on several\r\ndatasets highlight different regimes in which the proposed method exhibits a\r\nfaster empirical convergence than related methods. Finally, we provide an\r\nimplementation of all considered methods in an open-source package." alternative_title: - PMLR article_processing_charge: No author: - first_name: Geoffrey full_name: Négiar, Geoffrey last_name: Négiar - first_name: Gideon full_name: Dresdner, Gideon last_name: Dresdner - first_name: Alicia full_name: Tsai, Alicia last_name: Tsai - first_name: Laurent El full_name: Ghaoui, Laurent El last_name: Ghaoui - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Robert M. full_name: Freund, Robert M. last_name: Freund - first_name: Fabian full_name: Pedregosa, Fabian last_name: Pedregosa citation: ama: 'Négiar G, Dresdner G, Tsai A, et al. Stochastic Frank-Wolfe for constrained finite-sum minimization. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:7253-7262.' apa: Négiar, G., Dresdner, G., Tsai, A., Ghaoui, L. E., Locatello, F., Freund, R. M., & Pedregosa, F. (2020). Stochastic Frank-Wolfe for constrained finite-sum minimization. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 7253–7262). Virtual. chicago: Négiar, Geoffrey, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, and Fabian Pedregosa. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” In Proceedings of the 37th International Conference on Machine Learning, 119:7253–62, 2020. ieee: G. Négiar et al., “Stochastic Frank-Wolfe for constrained finite-sum minimization,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, vol. 119, pp. 7253–7262. ista: Négiar G, Dresdner G, Tsai A, Ghaoui LE, Locatello F, Freund RM, Pedregosa F. 2020. Stochastic Frank-Wolfe for constrained finite-sum minimization. Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 119, 7253–7262. mla: Négiar, Geoffrey, et al. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 7253–62. short: G. Négiar, G. Dresdner, A. Tsai, L.E. Ghaoui, F. Locatello, R.M. Freund, F. Pedregosa, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 7253–7262. conference: end_date: 2020-07-18 location: Virtual name: International Conference on Machine Learning start_date: 2020-07-13 date_created: 2023-08-22T14:07:52Z date_published: 2020-07-27T00:00:00Z date_updated: 2023-09-12T08:03:40Z day: '27' department: - _id: FrLo extern: '1' external_id: arxiv: - '2002.11860' intvolume: ' 119' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2002.11860 month: '07' oa: 1 oa_version: Preprint page: 7253-7262 publication: Proceedings of the 37th International Conference on Machine Learning publication_status: published quality_controlled: '1' status: public title: Stochastic Frank-Wolfe for constrained finite-sum minimization type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 119 year: '2020' ... --- _id: '14195' abstract: - lang: eng text: "The idea behind the unsupervised learning of disentangled representations is that real-world data is generated by a few explanatory factors of variation which can be recovered by unsupervised learning algorithms. In this paper, we provide a sober look at recent progress in the field and challenge some common assumptions. We first theoretically show that the unsupervised learning of disentangled representations is fundamentally impossible without inductive biases on both the models and the data. Then, we train over 14000\r\n models covering most prominent methods and evaluation metrics in a reproducible large-scale experimental study on eight data sets. We observe that while the different methods successfully enforce properties “encouraged” by the corresponding losses, well-disentangled models seemingly cannot be identified without supervision. Furthermore, different evaluation metrics do not always agree on what should be considered “disentangled” and exhibit systematic differences in the estimation. Finally, increased disentanglement does not seem to necessarily lead to a decreased sample complexity of learning for downstream tasks. Our results suggest that future work on disentanglement learning should be explicit about the role of inductive biases and (implicit) supervision, investigate concrete benefits of enforcing disentanglement of the learned representations, and consider a reproducible experimental setup covering several data sets." article_number: '209' article_processing_charge: No article_type: original author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Stefan full_name: Bauer, Stefan last_name: Bauer - first_name: Mario full_name: Lucic, Mario last_name: Lucic - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Sylvain full_name: Gelly, Sylvain last_name: Gelly - first_name: Bernhard full_name: Schölkopf, Bernhard last_name: Schölkopf - first_name: Olivier full_name: Bachem, Olivier last_name: Bachem citation: ama: Locatello F, Bauer S, Lucic M, et al. A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. 2020;21. apa: Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., & Bachem, O. (2020). A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. MIT Press. chicago: Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research. MIT Press, 2020. ieee: F. Locatello et al., “A sober look at the unsupervised learning of disentangled representations and their evaluation,” Journal of Machine Learning Research, vol. 21. MIT Press, 2020. ista: Locatello F, Bauer S, Lucic M, Rätsch G, Gelly S, Schölkopf B, Bachem O. 2020. A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. 21, 209. mla: Locatello, Francesco, et al. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research, vol. 21, 209, MIT Press, 2020. short: F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, Journal of Machine Learning Research 21 (2020). date_created: 2023-08-22T14:10:34Z date_published: 2020-09-01T00:00:00Z date_updated: 2023-09-12T09:23:56Z day: '01' ddc: - '000' department: - _id: FrLo extern: '1' external_id: arxiv: - '2010.14766' has_accepted_license: '1' intvolume: ' 21' language: - iso: eng main_file_link: - open_access: '1' url: https://jmlr.csail.mit.edu/papers/v21/19-976.html month: '09' oa: 1 oa_version: Published Version publication: Journal of Machine Learning Research publication_status: published publisher: MIT Press quality_controlled: '1' scopus_import: '1' status: public title: A sober look at the unsupervised learning of disentangled representations and their evaluation 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 21 year: '2020' ...