Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P., Mack, O. A.,https://doi.org/10.1038/s41467-023-40930-6__Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple excitation to C+-activated PKA signaling. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-40930-6 
LibreCat: https://research-explorer.ista.ac.at/record/14253
DOI: 10.1038/s41467-023-40930-6
PMID: 37633939

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 
LibreCat: https://research-explorer.ista.ac.at/record/14259
DOI: 10.1007/978-3-031-37706-8_20

Sinha, S., Gehler, P., Locatello, F., &; Schiele, B. (2023). TeST: Test-time Self-Training under distribution shift. In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers.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., &; 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 
LibreCat: https://research-explorer.ista.ac.at/record/14256
DOI: 10.1051/0004-6361/202346832
WoS: 001046037700007
arXiv: 2306.11587

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

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 
LibreCat: https://research-explorer.ista.ac.at/record/14209
DOI: 10.48550/arXiv.2304.10253
arXiv: 2304.10253

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

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

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

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

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

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

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

Faller, P. M., Vankadara, L. C., Mastakouri, A. A., Locatello, F., &; Janzing, D. (n.d.). Self-compatibility: Evaluating causal discovery without ground truth. arXiv.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, D. R., Hirashima, T., &; Hannezo, E. B. (2023). Interplay between mechanochemical patterning and glassy dynamics in cellular monolayers. PRX Life. American Physical Society.https://doi.org/10.1103/prxlife.1.013001 
LibreCat: https://research-explorer.ista.ac.at/record/14277
DOI: 10.1103/prxlife.1.013001

Nardin, M., Käfer, K., Stella, F., &; Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. Elsevier.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, U. H., &; Hetzer, M. (2023). Caspase-mediated nuclear pore complex trimming in cell differentiation and endoplasmic reticulum stress. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.89066 
LibreCat: https://research-explorer.ista.ac.at/record/14315
DOI: 10.7554/eLife.89066
PMID: 37665327

Anastos, M., Fabian, D., Müyesser, A., &; Szabó, T. (2023). Splitting matchings and the Ryser-Brualdi-Stein conjecture for multisets. Electronic Journal of Combinatorics. Electronic Journal of Combinatorics.https://doi.org/10.37236/11714 
LibreCat: https://research-explorer.ista.ac.at/record/14319
DOI: 10.37236/11714
arXiv: 2212.03100

Sun, Y., Fu, H., Chatterjee, K., &; Goharshady, A. K. (2023). Automated tail bound analysis for probabilistic recurrence relations. In Computer Aided Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature.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., Chatterjee, K., Meggendorfer, T., &; Zikelic, D. (2023). MDPs as distribution transformers: Affine invariant synthesis for safety objectives. In International Conference on Computer Aided Verification (Vol. 13966, pp. 86–112). Paris, France: Springer Nature.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