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10763 Publications
2023 | Published | Journal Article | IST-REx-ID: 14104 | 
Farmer, R, M Renzo, Ylva Louise Linsdotter Götberg, E Bellinger, S Justham, and S E de Mink. “Observational Predictions for Thorne–Żytkow Objects.” Monthly Notices of the Royal Astronomical Society. Oxford University Press, 2023. https://doi.org/10.1093/mnras/stad1977.
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2023 | Published | Conference Paper | IST-REx-ID: 14105 |
Sinha, Samarth, Peter Gehler, Francesco Locatello, and Bernt Schiele. “TeST: Test-Time Self-Training under Distribution Shift.” In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/wacv56688.2023.00278.
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2023 | Published | Journal Article | IST-REx-ID: 14192 |
Lampart, Jonas, David Johannes Mitrouskas, and Krzysztof Mysliwy. “On the Global Minimum of the Energy–Momentum Relation for the Polaron.” Mathematical Physics, Analysis and Geometry. Springer Nature, 2023. https://doi.org/10.1007/s11040-023-09460-x.
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2023 | Submitted | Preprint | IST-REx-ID: 14207 |
Löwe, Sindy, Phillip Lippe, Francesco Locatello, and Max Welling. “Rotating Features for Object Discovery.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2306.00600.
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2023 | Published | Conference Paper | IST-REx-ID: 14208 |
Zhu, Zhenyu, Fanghui Liu, Grigorios G Chrysos, Francesco Locatello, and Volkan Cevher. “Benign Overfitting in Deep Neural Networks under Lazy Training.” In Proceedings of the 40th International Conference on Machine Learning, 202:43105–28. ML Research Press, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14209 |
Burg, Max F., Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “A Data Augmentation Perspective on Diffusion Models and Retrieval.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2304.10253.
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2023 | Submitted | Preprint | IST-REx-ID: 14210 |
Fumero, Marco, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, and Francesco Locatello. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2304.07939.
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2023 | Published | Conference Paper | IST-REx-ID: 14211 |
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and Francesco Locatello. “Causal Discovery with Score Matching on Additive Models with Arbitrary Noise.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14212 |
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and Francesco Locatello. “Scalable Causal Discovery with Score Matching.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14214 |
Liu, Yuejiang, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, and Francesco Locatello. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14217 |
Moschella, Luca, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, and Emanuele Rodolà. “Relative Representations Enable Zero-Shot Latent Space Communication.” In The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14218 |
Seitzer, Maximilian, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, Tong He, et al. “Bridging the Gap to Real-World Object-Centric Learning.” In The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14219 |
Zadaianchuk, Andrii, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, and Thomas Brox. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” In The 11th International Conference on Learning Representations, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14222 |
Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14241 |
Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth Shaper: Reflectivity Optimization as Surface Stylization.” In SIGGRAPH 2023 Conference Proceedings. Association for Computing Machinery, 2023. https://doi.org/10.1145/3588432.3591542.
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2023 | Published | Journal Article | IST-REx-ID: 14245 |
Horesh, Tal, and Amos Nevo. “Horospherical Coordinates of Lattice Points in Hyperbolic Spaces: Effective Counting and Equidistribution.” Pacific Journal of Mathematics. Mathematical Sciences Publishers, 2023. https://doi.org/10.2140/pjm.2023.324.265.
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2023 | Published | Journal Article | IST-REx-ID: 14246 |
Brauneis, Fabian, Areg Ghazaryan, Hans-Werner Hammer, and Artem Volosniev. “Emergence of a Bose Polaron in a Small Ring Threaded by the Aharonov-Bohm Flux.” Communications Physics. Springer Nature, 2023. https://doi.org/10.1038/s42005-023-01281-2.
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2023 | Published | Journal Article | IST-REx-ID: 14253 |
Vierra, Nicholas C., Luisa Ribeiro-Silva, Michael Kirmiz, Deborah Van Der List, Pradeep Bhandari, Olivia A. Mack, James Carroll, et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-40930-6.
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2023 | Published | Journal Article | IST-REx-ID: 14254 |
Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring Type Inequalities.” Journal of Functional Analysis. Elsevier, 2023. https://doi.org/10.1016/j.jfa.2023.110129.
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2023 | Published | Journal Article | IST-REx-ID: 14256 |
Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy and Astrophysics. EDP Sciences, 2023. https://doi.org/10.1051/0004-6361/202346832.
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