Sinha, Samarth, Peter Gehler, Francesco Locatello, and Bernt Schiele. “TeST: Test-Time Self-Training under Distribution Shift.”https://doi.org/10.1109/wacv56688.2023.00278__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 .
LibreCat: https://research-explorer.ista.ac.at/record/14105
DOI: 10.1109/wacv56688.2023.00278
arXiv: 2209.11459

Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.”https://doi.org/10.1051/0004-6361/202346832__Astronomy and Astrophysics. EDP Sciences, 2023.https://doi.org/10.1051/0004-6361/202346832 .
LibreCat: https://research-explorer.ista.ac.at/record/14256
DOI: 10.1051/0004-6361/202346832
WoS: 001046037700007
arXiv: 2306.11587

Gamper, Jakob, Florian Kluibenschedl, Alexander K.H. Weiss, and Thomas S. Hofer. “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.”https://doi.org/10.1021/acs.jpclett.3c01707__Journal of Physical Chemistry Letters. American Chemical Society, 2023.https://doi.org/10.1021/acs.jpclett.3c01707 .
LibreCat: https://research-explorer.ista.ac.at/record/14261
DOI: 10.1021/acs.jpclett.3c01707
WoS: 001048165800001
PMID: 37566743

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.
LibreCat: https://research-explorer.ista.ac.at/record/14208
arXiv: 2305.19377

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.”https://doi.org/10.48550/arXiv.2304.10253__ArXiv, n.d.https://doi.org/10.48550/arXiv.2304.10253 .
LibreCat: https://research-explorer.ista.ac.at/record/14209
DOI: 10.48550/arXiv.2304.10253
arXiv: 2304.10253

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.
LibreCat: https://research-explorer.ista.ac.at/record/14211
arXiv: 2304.03265

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.
LibreCat: https://research-explorer.ista.ac.at/record/14212
arXiv: 2304.03382

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.
LibreCat: https://research-explorer.ista.ac.at/record/14214
arXiv: 2301.05169

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.
LibreCat: https://research-explorer.ista.ac.at/record/14217
arXiv: 2209.15430

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.
LibreCat: https://research-explorer.ista.ac.at/record/14222
arXiv: 2110.06562