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5750 Publications


2021 | Thesis | IST-REx-ID: 10030 | OA
Portinale L. Discrete-to-continuum limits of transport problems and gradient flows in the space of measures. 2021. doi:10.15479/at:ista:10030
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2021 | Thesis | IST-REx-ID: 9920 | OA
Peruzzo M. Geometric superinductors and their applications in circuit quantum electrodynamics. 2021. doi:10.15479/at:ista:9920
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2021 | Conference Paper | IST-REx-ID: 10432 | OA
Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. ; 2021:9037-9045.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10041 | OA
Kamath Hosdurg C, Klein K, Pietrzak KZ, Wichs D. Limits on the Adaptive Security of Yao’s Garbling. In: 41st Annual International Cryptology Conference, Part II . Vol 12826. Cham: Springer Nature; 2021:486-515. doi:10.1007/978-3-030-84245-1_17
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2021 | Conference Paper | IST-REx-ID: 10049 | OA
Klein K, Pascual Perez G, Walter M, et al. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. In: 2021 IEEE Symposium on Security and Privacy . IEEE; 2021:268-284. doi:10.1109/sp40001.2021.00035
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2021 | Conference Paper | IST-REx-ID: 10044 | OA
Kamath Hosdurg C, Klein K, Pietrzak KZ. On treewidth, separators and Yao’s garbling. In: 19th Theory of Cryptography Conference 2021. International Association for Cryptologic Research; 2021.
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2021 | Thesis | IST-REx-ID: 10422 | OA
Piankov A. Towards designer materials using customizable particle shape. 2021. doi:10.15479/at:ista:10422
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2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv. doi:10.48550/arXiv.2102.05996
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 10762 | OA
Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for non-additive systems. arXiv. doi:10.48550/arXiv.2105.15193
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Thesis | IST-REx-ID: 9418 | OA
Phuong M. Underspecification in deep learning. 2021. doi:10.15479/AT:ISTA:9418
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2021 | Conference Paper | IST-REx-ID: 14177 | OA
Träuble F, Creager E, Kilbertus N, et al. On disentangled representations learned from correlated data. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:10401-10412.
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2021 | Conference Paper | IST-REx-ID: 14176 | OA
Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. Neighborhood contrastive learning applied to online patient monitoring. In: Proceedings of 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:11964-11974.
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2021 | Conference Paper | IST-REx-ID: 14182 | OA
Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. Backward-compatible prediction updates: A probabilistic approach. In: 35th Conference on Neural Information Processing Systems. Vol 34. ; 2021:116-128.
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2021 | Conference Paper | IST-REx-ID: 14181 | OA
Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. Boosting variational inference with locally adaptive step-sizes. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence; 2021:2337-2343. doi:10.24963/ijcai.2021/322
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2021 | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen J von, Sharma Y, Gresele L, et al. Self-supervised learning with data augmentations provably isolates content from style. In: Advances in Neural Information Processing Systems. Vol 34. ; 2021:16451-16467.
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2021 | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman N, Gondal MW, Joshi S, et al. Dynamic inference with neural interpreters. In: Advances in Neural Information Processing Systems. Vol 34. ; 2021:10985-10998.
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2021 | Journal Article | IST-REx-ID: 14117 | OA
Scholkopf B, Locatello F, Bauer S, et al. Toward causal representation learning. Proceedings of the IEEE. 2021;109(5):612-634. doi:10.1109/jproc.2021.3058954
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2021 | Conference Paper | IST-REx-ID: 14178 | OA
Dittadi A, Träuble F, Locatello F, et al. On the transfer of disentangled representations in realistic settings. In: The Ninth International Conference on Learning Representations. ; 2021.
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2021 | Preprint | IST-REx-ID: 14221 | OA
Locatello F. Enforcing and discovering structure in machine learning. arXiv. doi:10.48550/arXiv.2111.13693
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2021 | Preprint | IST-REx-ID: 14278 | OA
Koval I. Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv. doi:10.48550/ARXIV.2111.12171
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