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5250 Publications
2021 |Published| Journal Article | IST-REx-ID: 10191 |
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T. L. Bui, K. Chatterjee, T. Gautam, A. Pavlogiannis, and V. Toman, “The reads-from equivalence for the TSO and PSO memory models,” Proceedings of the ACM on Programming Languages, vol. 5, no. OOPSLA. Association for Computing Machinery, 2021.
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2021 |Submitted| Preprint | IST-REx-ID: 10013 |
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S. Hensel and T. Laux, “Weak-strong uniqueness for the mean curvature flow of double bubbles,” arXiv. .
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2021 |Published| Thesis | IST-REx-ID: 10030 |
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L. Portinale, “Discrete-to-continuum limits of transport problems and gradient flows in the space of measures,” Institute of Science and Technology Austria, 2021.
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2021 |Published| Thesis | IST-REx-ID: 9920 |
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M. Peruzzo, “Geometric superinductors and their applications in circuit quantum electrodynamics,” Institute of Science and Technology Austria, 2021.
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2021 |Published| Conference Paper | IST-REx-ID: 10432 |
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G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, and D.-A. Alistarh, “Elastic consistency: A practical consistency model for distributed stochastic gradient descent,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 10, pp. 9037–9045.
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2021 |Published| Conference Paper | IST-REx-ID: 10041 |
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C. Kamath Hosdurg, K. Klein, K. Z. Pietrzak, and D. Wichs, “Limits on the Adaptive Security of Yao’s Garbling,” in 41st Annual International Cryptology Conference, Part II , Virtual, 2021, vol. 12826, pp. 486–515.
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2021 |Published| Conference Paper | IST-REx-ID: 10049 |
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K. Klein et al., “Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement,” in 2021 IEEE Symposium on Security and Privacy , San Francisco, CA, United States, 2021, pp. 268–284.
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2021 |Published| Conference Paper | IST-REx-ID: 10044 |
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C. Kamath Hosdurg, K. Klein, and K. Z. Pietrzak, “On treewidth, separators and Yao’s garbling,” in 19th Theory of Cryptography Conference 2021, Raleigh, NC, United States, 2021.
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2021 |Published| Thesis | IST-REx-ID: 10422 |
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A. Piankov, “Towards designer materials using customizable particle shape,” Institute of Science and Technology Austria, 2021.
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2021 |Submitted| Preprint | IST-REx-ID: 10803 |
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N. H. Konstantinov and C. Lampert, “Fairness through regularization for learning to rank,” arXiv. .
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2021 |Submitted| Preprint | IST-REx-ID: 10762 |
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W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for non-additive systems,” arXiv. .
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2021 |Published| Thesis | IST-REx-ID: 9418 |
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M. Phuong, “Underspecification in deep learning,” Institute of Science and Technology Austria, 2021.
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2021 |Published| Conference Paper | IST-REx-ID: 14177 |
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F. Träuble et al., “On disentangled representations learned from correlated data,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 10401–10412.
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2021 |Published| Conference Paper | IST-REx-ID: 14176 |
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H. Yèche, G. Dresdner, F. Locatello, M. Hüser, and G. Rätsch, “Neighborhood contrastive learning applied to online patient monitoring,” in Proceedings of 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 11964–11974.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14182 |
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F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, and P. Gehler, “Backward-compatible prediction updates: A probabilistic approach,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 116–128.
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2021 |Published| Conference Paper | IST-REx-ID: 14181 |
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G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, and G. Rätsch, “Boosting variational inference with locally adaptive step-sizes,” in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 2021, pp. 2337–2343.
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2021 |Published| Conference Paper | IST-REx-ID: 14179 |
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J. von Kügelgen et al., “Self-supervised learning with data augmentations provably isolates content from style,” in Advances in Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 16451–16467.
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2021 |Published| Conference Paper | IST-REx-ID: 14180 |
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N. Rahaman et al., “Dynamic inference with neural interpreters,” in Advances in Neural Information Processing Systems, Virtual, 2021, vol. 34, pp. 10985–10998.
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| arXiv
2021 |Published| Journal Article | IST-REx-ID: 14117 |
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B. Scholkopf et al., “Toward causal representation learning,” Proceedings of the IEEE, vol. 109, no. 5. Institute of Electrical and Electronics Engineers, pp. 612–634, 2021.
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| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 14178 |
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A. Dittadi et al., “On the transfer of disentangled representations in realistic settings,” in The Ninth International Conference on Learning Representations, Virtual, 2021.
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