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 .

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 .

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 .

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.

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 .

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.

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.

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.

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.

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.

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.

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.

Faller, Philipp M., Leena Chennuru Vankadara, Atalanti A. Mastakouri, Francesco Locatello, and Dominik Janzing. “Self-Compatibility: Evaluating Causal Discovery without Ground Truth.”https://doi.org/10.48550/arXiv.2307.09552__ArXiv, n.d.https://doi.org/10.48550/arXiv.2307.09552 .

Boocock, Daniel R, Tsuyoshi Hirashima, and Edouard B Hannezo. “Interplay between Mechanochemical Patterning and Glassy Dynamics in Cellular Monolayers.”https://doi.org/10.1103/prxlife.1.013001__PRX Life. American Physical Society, 2023.https://doi.org/10.1103/prxlife.1.013001 .

Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.”https://doi.org/10.1016/j.celrep.2023.113015__Cell Reports. Elsevier, 2023.https://doi.org/10.1016/j.celrep.2023.113015 .

Cho, Ukrae H., and Martin Hetzer. “Caspase-Mediated Nuclear Pore Complex Trimming in Cell Differentiation and Endoplasmic Reticulum Stress.”https://doi.org/10.7554/eLife.89066__ELife. eLife Sciences Publications, 2023.https://doi.org/10.7554/eLife.89066 .

Anastos, Michael, David Fabian, Alp Müyesser, and Tibor Szabó. “Splitting Matchings and the Ryser-Brualdi-Stein Conjecture for Multisets.”https://doi.org/10.37236/11714__Electronic Journal of Combinatorics. Electronic Journal of Combinatorics, 2023.https://doi.org/10.37236/11714 .

Sun, Yican, Hongfei Fu, Krishnendu Chatterjee, and Amir Kafshdar Goharshady. “Automated Tail Bound Analysis for Probabilistic Recurrence Relations.”https://doi.org/10.1007/978-3-031-37709-9_2__In Computer Aided Verification, 13966:16–39. Springer Nature, 2023.https://doi.org/10.1007/978-3-031-37709-9_2 .

Akshay, S., Krishnendu Chatterjee, Tobias Meggendorfer, and Dorde Zikelic. “MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”https://doi.org/10.1007/978-3-031-37709-9_5__In International Conference on Computer Aided Verification, 13966:86–112. Springer Nature, 2023.https://doi.org/10.1007/978-3-031-37709-9_5 .

Nagano, Makoto, Kaito Aoshima, Hiroki Shimamura, Daria E Siekhaus, Junko Y. Toshima, and Jiro Toshima. “Distinct Role of TGN-Resident Clathrin Adaptors for Vpp Activation in the TGN-Endosome Trafficking Pathway.”https://doi.org/10.1242/jcs.261448__Journal of Cell Science. The Company of Biologists, 2023.https://doi.org/10.1242/jcs.261448 .