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5026 Publications
2021 |Published| Conference Paper | IST-REx-ID: 10049 |
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Klein K, Pascual Perez G, Walter M, Kamath Hosdurg C, Capretto M, Cueto Noval M, Markov I, Yeo MX, Alwen JF, Pietrzak KZ. 2021. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. 2021 IEEE Symposium on Security and Privacy . SP: Symposium on Security and Privacy, 268–284.
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2021 |Published| Conference Paper | IST-REx-ID: 10044 |
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Kamath Hosdurg C, Klein K, Pietrzak KZ. 2021. On treewidth, separators and Yao’s garbling. 19th Theory of Cryptography Conference 2021. TCC: Theory of Cryptography Conference, 2021/926.
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2021 |Published| Thesis | IST-REx-ID: 10422 |
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Piankov A. 2021. Towards designer materials using customizable particle shape. Institute of Science and Technology Austria.
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2021 |Submitted| Preprint | IST-REx-ID: 10803 |
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Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv, 2102.05996.
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| arXiv
2021 |Submitted| Preprint | IST-REx-ID: 10762 |
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Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for non-additive systems. arXiv, 10.48550/arXiv.2105.15193.
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| arXiv
2021 |Published| Thesis | IST-REx-ID: 9418 |
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Phuong M. 2021. Underspecification in deep learning. Institute of Science and Technology Austria.
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2021 |Published| Conference Paper | IST-REx-ID: 14177 |
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Träuble F, Creager E, Kilbertus N, Locatello F, Dittadi A, Goyal A, Schölkopf B, Bauer S. 2021. On disentangled representations learned from correlated data. Proceedings of the 38th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 139, 10401–10412.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14176 |
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Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. 2021. Neighborhood contrastive learning applied to online patient monitoring. Proceedings of 38th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 139, 11964–11974.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14182 |
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Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. 2021. Backward-compatible prediction updates: A probabilistic approach. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 116–128.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14181 |
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Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. 2021. Boosting variational inference with locally adaptive step-sizes. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. IJCAI: International Joint Conference on Artificial Intelligence, 2337–2343.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14179 |
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Kügelgen J von, Sharma Y, Gresele L, Brendel W, Schölkopf B, Besserve M, Locatello F. 2021. Self-supervised learning with data augmentations provably isolates content from style. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 16451–16467.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14180 |
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Rahaman N, Gondal MW, Joshi S, Gehler P, Bengio Y, Locatello F, Schölkopf B. 2021. Dynamic inference with neural interpreters. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 10985–10998.
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| arXiv
2021 |Published| Journal Article | IST-REx-ID: 14117 |
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Scholkopf B, Locatello F, Bauer S, Ke NR, Kalchbrenner N, Goyal A, Bengio Y. 2021. Toward causal representation learning. Proceedings of the IEEE. 109(5), 612–634.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14178 |
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Dittadi A, Träuble F, Locatello F, Wüthrich M, Agrawal V, Winther O, Bauer S, Schölkopf B. 2021. On the transfer of disentangled representations in realistic settings. The Ninth International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2021 |Submitted| Preprint | IST-REx-ID: 14221 |
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Locatello F. Enforcing and discovering structure in machine learning. arXiv, 2111.13693.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14332
Träuble F, Dittadi A, Wuthrich M, Widmaier F, Gehler PV, Winther O, Locatello F, Bachem O, Schölkopf B, Bauer S. 2021. Representation learning for out-of-distribution generalization in reinforcement learning. ICML 2021 Workshop on Unsupervised Reinforcement Learning. ICML: International Conference on Machine Learning.
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2021 |Published| Thesis | IST-REx-ID: 10199 |
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Toman V. 2021. Improved verification techniques for concurrent systems. Institute of Science and Technology Austria.
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2021 |Published| Journal Article | IST-REx-ID: 8429 |
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Patxot M, Trejo Banos D, Kousathanas A, Orliac EJ, Ojavee SE, Moser G, Sidorenko J, Kutalik Z, Magi R, Visscher PM, Ronnegard L, Robinson MR. 2021. Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. 12(1), 6972.
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| WoS
2021 |Published| Conference Paper | IST-REx-ID: 10854 |
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Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. 2021. Input-dynamic distributed algorithms for communication networks. Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. SIGMETRICS: International Conference on Measurement and Modeling of Computer Systems, 71–72.
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| arXiv
2021 |Published| Journal Article | IST-REx-ID: 10855 |
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Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. 2021. Input-dynamic distributed algorithms for communication networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 5(1), 1–33.
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