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5384 Publications
2022 | Published | Conference Paper | IST-REx-ID: 12011 | 
Y. Zhang, S. Jaggi, M. Langberg, and A. D. Sarwate, “The capacity of causal adversarial channels,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2523–2528.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12012 |
S. Torkamani, J. B. Ebrahimi, P. Sadeghi, R. G. L. D’Oliveira, and M. Médard, “Heterogeneous differential privacy via graphs,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 1623–1628.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12016 |
D. Fathollahi and M. Mondelli, “Polar coded computing: The role of the scaling exponent,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2154–2159.
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 15268 |
R. A. Gisonno, T. Masson, N. A. Ramella, E. E. Barrera, V. Romanowski, and M. A. Tricerri, “Evolutionary and structural constraints influencing apolipoprotein A‐I amyloid behavior,” Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 1. Wiley, pp. 258–269, 2022.
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| PubMed | Europe PMC
2022 | Published | Conference Paper | IST-REx-ID: 13239 |
T. L. Van Der Plas, T. P. Vogels, and S. G. Manohar, “Predictive learning enables neural networks to learn complex working memory tasks,” in Proceedings of Machine Learning Research, 2022, vol. 199, pp. 518–531.
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2022 | Published | Journal Article | IST-REx-ID: 13240 |
K. D. Ingole, N. Nagarajan, S. Uhse, C. Giannini, and A. Djamei, “Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis,” Frontiers in Fungal Biology, vol. 3. Frontiers Media, 2022.
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| DOI
2022 | Published | Conference Paper | IST-REx-ID: 13241 |
N. H. Konstantinov and C. Lampert, “On the impossibility of fairness-aware learning from corrupted data,” in Proceedings of Machine Learning Research, 2022, vol. 171, pp. 59–83.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14093 |
G. Dresdner, M.-L. Vladarean, G. Rätsch, F. Locatello, V. Cevher, and A. Yurtsever, “ Faster one-sample stochastic conditional gradient method for composite convex minimization,” in Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, Virtual, 2022, vol. 151, pp. 8439–8457.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14107 |
J. Yao et al., “Self-supervised amodal video object segmentation,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14114 |
D. Zietlow et al., “Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers,” in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, 2022, pp. 10400–10411.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14168 |
N. Rahaman et al., “Neural attentive circuits,” in 36th Conference on Neural Information Processing Systems, New Orleans, United States, 2022, vol. 35.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14170 |
A. Dittadi, S. Papa, M. D. Vita, B. Schölkopf, O. Winther, and F. Locatello, “Generalization and robustness implications in object-centric learning,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, vol. 2022, pp. 5221–5285.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14171 |
P. Rolland et al., “Score matching enables causal discovery of nonlinear additive noise models,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, 2022, vol. 162, pp. 18741–18753.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14172 |
L. Schott et al., “Visual representation learning does not generalize strongly within the same domain,” in 10th International Conference on Learning Representations, Virtual, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14173 |
F. Wenzel et al., “Assaying out-of-distribution generalization in transfer learning,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022, vol. 35, pp. 7181–7198.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14174 |
A. Dittadi et al., “The role of pretrained representations for the OOD generalization of reinforcement learning agents,” in 10th International Conference on Learning Representations, Virtual, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14175 |
O. Makansi et al., “You mostly walk alone: Analyzing feature attribution in trajectory prediction,” in 10th International Conference on Learning Representations, Virtual, 2022.
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| arXiv