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

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.
LibreCat: https://research-explorer.ista.ac.at/record/14218
arXiv: 2209.14860

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.
LibreCat: https://research-explorer.ista.ac.at/record/14219
arXiv: 2207.05027

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 .
LibreCat: https://research-explorer.ista.ac.at/record/14333
DOI: 10.48550/arXiv.2307.09552
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 .
LibreCat: https://research-explorer.ista.ac.at/record/14277
DOI: 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 .
LibreCat: https://research-explorer.ista.ac.at/record/14314
DOI: 10.1016/j.celrep.2023.113015
PMID: 37632747

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 .
LibreCat: https://research-explorer.ista.ac.at/record/14315
DOI: 10.7554/eLife.89066
PMID: 37665327

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 .
LibreCat: https://research-explorer.ista.ac.at/record/14319
DOI: 10.37236/11714
arXiv: 2212.03100

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 .
LibreCat: https://research-explorer.ista.ac.at/record/14318
DOI: 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 .
LibreCat: https://research-explorer.ista.ac.at/record/14317
DOI: 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 .
LibreCat: https://research-explorer.ista.ac.at/record/14316
DOI: 10.1242/jcs.261448
PMID: 37539494

Henderson, Paul M, Areg Ghazaryan, Alexander A. Zibrov, Andrea F. Young, and Maksym Serbyn. “Deep Learning Extraction of Band Structure Parameters from Density of States: A Case Study on Trilayer Graphene.”https://doi.org/10.1103/physrevb.108.125411__Physical Review B. American Physical Society, 2023.https://doi.org/10.1103/physrevb.108.125411 .
LibreCat: https://research-explorer.ista.ac.at/record/14320
DOI: 10.1103/physrevb.108.125411
arXiv: 2210.06310

Brighi, Pietro. “Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems.”https://doi.org/10.15479/at:ista:12732__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/at:ista:12732 .
LibreCat: https://research-explorer.ista.ac.at/record/12732
DOI: 10.15479/at:ista:12732

Brighi, Pietro, Marko Ljubotina, and Maksym Serbyn. “Hilbert Space Fragmentation and Slow Dynamics in Particle-Conserving Quantum East Models.”https://doi.org/10.21468/scipostphys.15.3.093__SciPost Physics. SciPost Foundation, 2023.https://doi.org/10.21468/scipostphys.15.3.093 .
LibreCat: https://research-explorer.ista.ac.at/record/14334
DOI: 10.21468/scipostphys.15.3.093
arXiv: 2210.15607