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5339 Publications
2021 | Published | Conference Paper | IST-REx-ID: 13146 | 
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 13147 |
Alimisis, Foivos, Peter Davies, and Dan-Adrian Alistarh. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” In Proceedings of the 38th International Conference on Machine Learning, 139:196–206. ML Research Press, 2021.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 14117 |
Scholkopf, Bernhard, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio. “Toward Causal Representation Learning.” Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/jproc.2021.3058954.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14176 |
Yèche, Hugo, Gideon Dresdner, Francesco Locatello, Matthias Hüser, and Gunnar Rätsch. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” In Proceedings of 38th International Conference on Machine Learning, 139:11964–74. ML Research Press, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14177 |
Träuble, Frederik, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, and Stefan Bauer. “On Disentangled Representations Learned from Correlated Data.” In Proceedings of the 38th International Conference on Machine Learning, 139:10401–12. ML Research Press, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14178 |
Dittadi, Andrea, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, and Bernhard Schölkopf. “On the Transfer of Disentangled Representations in Realistic Settings.” In The Ninth International Conference on Learning Representations, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14179 |
Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In Advances in Neural Information Processing Systems, 34:16451–67, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14180 |
Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In Advances in Neural Information Processing Systems, 34:10985–98, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14181 |
Dresdner, Gideon, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, and Gunnar Rätsch. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2337–43. International Joint Conferences on Artificial Intelligence, 2021. https://doi.org/10.24963/ijcai.2021/322.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14182 |
Träuble, Frederik, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Peter Gehler. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” In 35th Conference on Neural Information Processing Systems, 34:116–28, 2021.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14221 |
Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2111.13693.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14332
Träuble, Frederik, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, and Stefan Bauer. “Representation Learning for Out-of-Distribution Generalization in Reinforcement Learning.” In ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 10834 |
Stahnke, Stephanie, Hermann Döring, Charly Kusch, David J.J. de Gorter, Sebastian Dütting, Aleks Guledani, Irina Pleines, et al. “Loss of Hem1 Disrupts Macrophage Function and Impacts Migration, Phagocytosis, and Integrin-Mediated Adhesion.” Current Biology. Elsevier, 2021. https://doi.org/10.1016/j.cub.2021.02.043.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 10838 |
Westram, Anja M, Rui Faria, Kerstin Johannesson, and Roger Butlin. “Using Replicate Hybrid Zones to Understand the Genomic Basis of Adaptive Divergence.” Molecular Ecology. Wiley, 2021. https://doi.org/10.1111/mec.15861.
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| PubMed | Europe PMC
2021 | Published | Conference Paper | IST-REx-ID: 10847 |
Tomášek, Petr, Karel Horák, Aditya Aradhye, Branislav Bošanský, and Krishnendu Chatterjee. “Solving Partially Observable Stochastic Shortest-Path Games.” In 30th International Joint Conference on Artificial Intelligence, 4182–89. International Joint Conferences on Artificial Intelligence, 2021. https://doi.org/10.24963/ijcai.2021/575.
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2021 | Published | Journal Article | IST-REx-ID: 10852 |
Seiringer, Robert. “The Polaron at Strong Coupling.” Reviews in Mathematical Physics. World Scientific Publishing, 2021. https://doi.org/10.1142/s0129055x20600120.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10853 |
Fedorov, Alexander, Nikita Koval, and Dan-Adrian Alistarh. “A Scalable Concurrent Algorithm for Dynamic Connectivity.” In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 208–20. Association for Computing Machinery, 2021. https://doi.org/10.1145/3409964.3461810.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10854 |
Foerster, Klaus-Tycho, Janne Korhonen, Ami Paz, Joel Rybicki, and Stefan Schmid. “Input-Dynamic Distributed Algorithms for Communication Networks.” In Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 71–72. Association for Computing Machinery, 2021. https://doi.org/10.1145/3410220.3453923.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 10855 |
Foerster, Klaus-Tycho, Janne Korhonen, Ami Paz, Joel Rybicki, and Stefan Schmid. “Input-Dynamic Distributed Algorithms for Communication Networks.” Proceedings of the ACM on Measurement and Analysis of Computing Systems. Association for Computing Machinery, 2021. https://doi.org/10.1145/3447384.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 10856 |
Ivanov, Grigory, and Igor Tsiutsiurupa. “On the Volume of Sections of the Cube.” Analysis and Geometry in Metric Spaces. De Gruyter, 2021. https://doi.org/10.1515/agms-2020-0103.
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