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5872 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14208 | 
Zhu, Z., Liu, F., Chrysos, G. G., Locatello, F., & Cevher, V. (2023). Benign overfitting in deep neural networks under lazy training. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 43105–43128). Honolulu, Hawaii, United States: ML Research Press.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14209 |
Burg, M. F., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., & Russell, C. (n.d.). A data augmentation perspective on diffusion models and retrieval. arXiv. https://doi.org/10.48550/arXiv.2304.10253
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14210 |
Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S., … Locatello, F. (n.d.). Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. https://doi.org/10.48550/arXiv.2304.07939
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14211 |
Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023). Causal discovery with score matching on additive models with arbitrary noise. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14212 |
Montagna, F., Noceti, N., Rosasco, L., Zhang, K., & Locatello, F. (2023). Scalable causal discovery with score matching. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14214 |
Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., & Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric causal representation learning. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14217 |
Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., & Rodolà, E. (2023). Relative representations enable zero-shot latent space communication. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14218 |
Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann Simon-Gabriel, C.-J. S.-G., … Locatello, F. (2023). Bridging the gap to real-world object-centric learning. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14219 |
Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., & Brox, T. (2023). Unsupervised semantic segmentation with self-supervised object-centric representations. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14222 |
Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P., Brox, T., … Schölkopf, B. (2023). Unsupervised object learning via common fate. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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2023 | Published | Conference Paper | IST-REx-ID: 14241 |
Tojo, K., Shamir, A., Bickel, B., & Umetani, N. (2023). Stealth shaper: Reflectivity optimization as surface stylization. In SIGGRAPH 2023 Conference Proceedings. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3588432.3591542
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2023 | Published | Journal Article | IST-REx-ID: 14245 |
Horesh, T., & Nevo, A. (2023). Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution. Pacific Journal of Mathematics. Mathematical Sciences Publishers. https://doi.org/10.2140/pjm.2023.324.265
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14246 |
Brauneis, F., Ghazaryan, A., Hammer, H.-W., & Volosniev, A. (2023). Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux. Communications Physics. Springer Nature. https://doi.org/10.1038/s42005-023-01281-2
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14253 |
Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P., Mack, O. A., … Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-40930-6
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2023 | Published | Journal Article | IST-REx-ID: 14254 |
Seiringer, R., & Solovej, J. P. (2023). A simple approach to Lieb-Thirring type inequalities. Journal of Functional Analysis. Elsevier. https://doi.org/10.1016/j.jfa.2023.110129
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14256 |
Mathis, S., & Bugnet, L. A. (2023). Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202346832
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14258 |
Ojavee, S. E., Darrous, L., Patxot, M., Läll, K., Fischer, K., Mägi, R., … Robinson, M. R. (2023). Genetic insights into the age-specific biological mechanisms governing human ovarian aging. American Journal of Human Genetics. Elsevier. https://doi.org/10.1016/j.ajhg.2023.07.006
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2023 | Published | Conference Paper | IST-REx-ID: 14259 |
Kretinsky, J., Meggendorfer, T., Prokop, M., & Rieder, S. (2023). Guessing winning policies in LTL synthesis by semantic learning. In 35th International Conference on Computer Aided Verification (Vol. 13964, pp. 390–414). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37706-8_20
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2023 | Published | Conference Paper | IST-REx-ID: 14260 |
Koval, N., Fedorov, A., Sokolova, M., Tsitelov, D., & Alistarh, D.-A. (2023). Lincheck: A practical framework for testing concurrent data structures on JVM. In 35th International Conference on Computer Aided Verification (Vol. 13964, pp. 156–169). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37706-8_8
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2023 | Published | Journal Article | IST-REx-ID: 14261 |
Gamper, J., Kluibenschedl, F., Weiss, A. K. H., & Hofer, T. S. (2023). Accessing position space wave functions in band structure calculations of periodic systems - a generalized, adapted numerov implementation for one-, two-, and three-dimensional quantum problems. Journal of Physical Chemistry Letters. American Chemical Society. https://doi.org/10.1021/acs.jpclett.3c01707
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