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87 Publications
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2022 | Published | Conference Paper | IST-REx-ID: 14174 | 
Dittadi, Andrea, et al. “The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents.” 10th International Conference on Learning Representations, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14175 |
Makansi, Osama, et al. “You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.” 10th International Conference on Learning Representations, 2022.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14215 |
Rahaman, Nasim, et al. “A General Purpose Neural Architecture for Geospatial Systems.” 36th Conference on Neural Information Processing Systems.
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| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 14220 |
Mambelli, Davide, et al. “Compositional Multi-Object Reinforcement Learning with Linear Relation Networks.” ArXiv, 2201.13388, doi:10.48550/arXiv.2201.13388.
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2021 | Published | Journal Article | IST-REx-ID: 14117 |
Scholkopf, Bernhard, et al. “Toward Causal Representation Learning.” Proceedings of the IEEE, vol. 109, no. 5, Institute of Electrical and Electronics Engineers, 2021, pp. 612–34, doi:10.1109/jproc.2021.3058954.
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2021 | Published | Conference Paper | IST-REx-ID: 14176 |
Yèche, Hugo, et al. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” Proceedings of 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 11964–74.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14177 |
Träuble, Frederik, et al. “On Disentangled Representations Learned from Correlated Data.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 10401–12.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14178 |
Dittadi, Andrea, et al. “On the Transfer of Disentangled Representations in Realistic Settings.” The Ninth International Conference on Learning Representations, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 14179 |
Kügelgen, Julius von, et al. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 16451–67.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14180 |
Rahaman, Nasim, et al. “Dynamic Inference with Neural Interpreters.” Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 10985–98.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14181 |
Dresdner, Gideon, et al. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–43, doi:10.24963/ijcai.2021/322.
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2021 | Published | Conference Paper | IST-REx-ID: 14182 |
Träuble, Frederik, et al. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” 35th Conference on Neural Information Processing Systems, vol. 34, 2021, pp. 116–28.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14221 |
Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” ArXiv, 2111.13693, doi:10.48550/arXiv.2111.13693.
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2021 | Published | Conference Paper | IST-REx-ID: 14332
Träuble, Frederik, et al. “Representation Learning for Out-of-Distribution Generalization in Reinforcement Learning.” ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021.
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2021 | Patent | IST-REx-ID: 14185 |
Weissenborn, Dirk, et al. Object-Centric Learning with Slot Attention. 2021.
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2020 | Published | Journal Article | IST-REx-ID: 14125 |
Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.
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| PubMed | Europe PMC
2020 | Published | Conference Paper | IST-REx-ID: 14186 |
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.
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2020 | Published | Conference Paper | IST-REx-ID: 14187 |
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.
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2020 | Published | Conference Paper | IST-REx-ID: 14188 |
Locatello, Francesco, et al. “Weakly-Supervised Disentanglement without Compromises.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 6348–6359.
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2020 | Published | Journal Article | IST-REx-ID: 14195 |
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.
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