Montagna, F., Mastakouri, A. A., Eulig, E., Noceti, N., Rosasco, L., Janzing, D.,https://doi.org/10.48550/arXiv.2310.13387__Locatello, F. (n.d.). Assumption violations in causal discovery and the robustness of score matching. arXiv.https://doi.org/10.48550/arXiv.2310.13387 

Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S.,https://doi.org/10.48550/arXiv.2304.07939__Locatello, F. (n.d.). Leveraging sparse and shared feature activations for disentangled representation learning. arXiv.https://doi.org/10.48550/arXiv.2304.07939 

Löwe, S., Lippe, P., Locatello, F., &; Welling, M. (n.d.). Rotating features for object discovery. arXiv.https://doi.org/10.48550/arXiv.2306.00600 

Zhao, Z., Wang, J., Horn, M., Ding, Y., He, T., Bai, Z.,https://doi.org/10.48550/arXiv.2309.00233__Xiao, T. (n.d.). Object-centric multiple object tracking. arXiv.https://doi.org/10.48550/arXiv.2309.00233 

Montagna, F., Noceti, N., Rosasco, L., &; Locatello, F. (n.d.). Shortcuts for causal discovery of nonlinear models by score matching. arXiv.https://doi.org/10.48550/arXiv.2310.14246 

Fan, K., Bai, Z., Xiao, T., Zietlow, D., Horn, M., Zhao, Z.,https://doi.org/10.48550/arXiv.2309.09858__He, T. (n.d.). Unsupervised open-vocabulary object localization in videos. arXiv.https://doi.org/10.48550/arXiv.2309.09858 

Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., &; Magliacane, S. (2023). A sparsity principle for partially observable causal representation learning. In Causal Representation Learning Workshop at NeurIPS 2023. New Orleans, LA, United States: OpenReview.

Fu, T., Liu, Y., Barbier, J., Mondelli, M., Liang, S., &; Hou, T. (n.d.). Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In Proceedings of 2023 IEEE International Symposium on Information Theory. Taipei, Taiwan: IEEE.https://doi.org/10.1109/isit54713.2023.10206671 

Marensi, E., Yalniz, G., &; Hof, B. (2023). Dynamics and proliferation of turbulent stripes in plane-Poiseuille and plane-Couette flows. Journal of Fluid Mechanics. Cambridge University Press.https://doi.org/10.1017/jfm.2023.780 

Jethwa, R. B., Mondal, S., Pant, B., &; Freunberger, S. A. (2023). To DISP or not? The farreaching reaction mechanisms underpinning Lithiumair batteries. Angewandte Chemie International Edition. Wiley.https://doi.org/10.1002/anie.202316476 

Liu, Z., Hong, T., Xu, L., Wang, S., Gao, X., Chang, C.,https://doi.org/10.1002/idm2.12056__Zhao, L. (2023). Lattice expansion enables interstitial doping to achieve a high average ZT in ntype PbS. Interdisciplinary Materials. Wiley.https://doi.org/10.1002/idm2.12056 

Malvai, H., Kokoris Kogias, E., Sonnino, A., Ghosh, E., Oztürk, E., Lewi, K., &; Lawlor, S. (2023). Parakeet: Practical key transparency for end-to-end eEncrypted messaging. In Proceedings of the 2023 Network and Distributed System Security Symposium. San Diego, CA, United States: Internet Society.https://doi.org/10.14722/ndss.2023.24545 

Benes, N., Brim, L., Pastva, S., Safránek, D., &; Smijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature.https://doi.org/10.1007/978-3-031-42697-1_2 

Lewin, M., Lieb, E. H., &; Seiringer, R. (2023). Universal Functionals in Density Functional Theory. In E. Cances &; G. Friesecke (Eds.), Density Functional Theory (1st ed., pp. 115–182). Springer.https://doi.org/10.1007/978-3-031-22340-2_3 

Becker, L. M., Berbon, M., Vallet, A., Grelard, A., Morvan, E., Bardiaux, B.,https://doi.org/10.1002/anie.202219314__Schanda, P. (2023). The rigid core and flexible surface of amyloid fibrils probed by MagicAngle Spinning NMR of aromatic residues. Angewandte Chemie International Edition. Wiley.https://doi.org/10.1002/anie.202219314 

Becker, L. M., &; Schanda, P. (2023). Research data to: The rigid core and flexible surface of amyloid fibrils probed by magic-angle-spinning NMR spectroscopy of aromatic residues. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12497 

Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.”https://doi.org/10.15479/AT:ISTA:13126__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:13126 

Dunajova, Z., Prats Mateu, B., Radler, P., Lim, K., Brandis, D., Velicky, P.,https://doi.org/10.15479/AT:ISTA:13116__Loose, M. (2023). Chiral and nematic phases of flexible active filaments. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:13116 

Dunajova, Z., Prats Mateu, B., Radler, P., Lim, K., Brandis, D., Velicky, P.,https://doi.org/10.1038/s41567-023-02218-w__Loose, M. (2023). Chiral and nematic phases of flexible active filaments. Nature Physics. Springer Nature.https://doi.org/10.1038/s41567-023-02218-w 

Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A.,https://doi.org/10.1038/s41587-023-01911-8__Danzl, J. G. (2023). Imaging brain tissue architecture across millimeter to nanometer scales. Nature Biotechnology. Springer Nature.https://doi.org/10.1038/s41587-023-01911-8