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4950 Publications
2022 |Published| Thesis | IST-REx-ID: 11473 | 
Mysliwy, K. (2022). Polarons in Bose gases and polar crystals: Some rigorous energy estimates. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11473
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2022 |Published| Journal Article | IST-REx-ID: 10564 |
Mysliwy, K., & Seiringer, R. (2022). Polaron models with regular interactions at strong coupling. Journal of Statistical Physics. Springer Nature. https://doi.org/10.1007/s10955-021-02851-w
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 11402 |
Chatterjee, K., & Doyen, L. (2022). Graph planning with expected finite horizon. Journal of Computer and System Sciences. Elsevier. https://doi.org/10.1016/j.jcss.2022.04.003
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 14114 |
Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Scholkopf, B., & Russell, C. (2022). Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10400–10411). New Orleans, LA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr52688.2022.01016
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2022 |Published| Conference Paper | IST-REx-ID: 14168 |
Rahaman, N., Weiss, M., Locatello, F., Pal, C., Bengio, Y., Schölkopf, B., … Ballas, N. (2022). Neural attentive circuits. In 36th Conference on Neural Information Processing Systems (Vol. 35). New Orleans, United States.
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| arXiv
2022 |Submitted| Conference Paper | IST-REx-ID: 14170 |
Dittadi, A., Papa, S., Vita, M. D., Schölkopf, B., Winther, O., & Locatello, F. (n.d.). Generalization and robustness implications in object-centric learning. In Proceedings of the 39th International Conference on Machine Learning (Vol. 2022, pp. 5221–5285). Baltimore, MD, United States: ML Research Press.
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2022 |Published| Conference Paper | IST-REx-ID: 14172 |
Schott, L., Kügelgen, J. von, Träuble, F., Gehler, P., Russell, C., Bethge, M., … Brendel, W. (2022). Visual representation learning does not generalize strongly within the same domain. In 10th International Conference on Learning Representations. Virtual.
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2022 |Published| Conference Paper | IST-REx-ID: 14107 |
Yao, J., Hong, Y., Wang, C., Xiao, T., He, T., Locatello, F., … Zhang, Z. (2022). Self-supervised amodal video object segmentation. In 36th Conference on Neural Information Processing Systems. New Orleans, LA, United States. https://doi.org/10.48550/arXiv.2210.12733
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2022 |Published| Conference Paper | IST-REx-ID: 14171 |
Rolland, P., Cevher, V., Kleindessner, M., Russel, C., Schölkopf, B., Janzing, D., & Locatello, F. (2022). Score matching enables causal discovery of nonlinear additive noise models. In Proceedings of the 39th International Conference on Machine Learning (Vol. 162, pp. 18741–18753). Baltimore, MD, United States: ML Research Press.
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2022 |Published| Conference Paper | IST-REx-ID: 14174 |
Dittadi, A., Träuble, F., Wüthrich, M., Widmaier, F., Gehler, P., Winther, O., … Bauer, S. (2022). The role of pretrained representations for the OOD generalization of reinforcement learning agents. In 10th International Conference on Learning Representations. Virtual.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 14175 |
Makansi, O., Kügelgen, J. von, Locatello, F., Gehler, P., Janzing, D., Brox, T., & Schölkopf, B. (2022). You mostly walk alone: Analyzing feature attribution in trajectory prediction. In 10th International Conference on Learning Representations. Virtual.
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2022 |Submitted| Preprint | IST-REx-ID: 14220 |
Mambelli, D., Träuble, F., Bauer, S., Schölkopf, B., & Locatello, F. (n.d.). Compositional multi-object reinforcement learning with linear relation networks. arXiv. https://doi.org/10.48550/arXiv.2201.13388
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2022 |Submitted| Conference Paper | IST-REx-ID: 14215 |
Rahaman, N., Weiss, M., Träuble, F., Locatello, F., Lacoste, A., Bengio, Y., … Schölkopf, B. (n.d.). A general purpose neural architecture for geospatial systems. In 36th Conference on Neural Information Processing Systems. New Orleans, LA, United States.
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| arXiv
2022 |Submitted| Preprint | IST-REx-ID: 12750 |
Brighi, P., Ljubotina, M., & Serbyn, M. (n.d.). Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. arXiv. https://doi.org/10.48550/arXiv.2210.15607
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 11185 |
Arroyo Guevara, A. M., & Felsner, S. (2022). Approximating the bundled crossing number. In WALCOM 2022: Algorithms and Computation (Vol. 13174, pp. 383–395). Jember, Indonesia: Springer Nature. https://doi.org/10.1007/978-3-030-96731-4_31
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2022 |Published| Conference Paper | IST-REx-ID: 12775 |
Grover, K., Kretinsky, J., Meggendorfer, T., & Weininger, M. (2022). Anytime guarantees for reachability in uncountable Markov decision processes. In 33rd International Conference on Concurrency Theory (Vol. 243). Warsaw, Poland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12510 |
Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., & Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i6.20631
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 10802 |
Konstantinov, N. H., & Lampert, C. (2022). Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. ML Research Press.
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2022 |Published| Conference Paper | IST-REx-ID: 13241 |
Konstantinov, N. H., & Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 10566 |
Li, M., Liu, Y., Zhang, Y., Chang, C., Zhang, T., Yang, D., … Cabot, A. (2022). Room temperature aqueous-based synthesis of copper-doped lead sulfide nanoparticles for thermoelectric application. Chemical Engineering Journal. Elsevier. https://doi.org/10.1016/j.cej.2021.133837
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