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Kori A, Locatello F, Ribeiro FDS, Toni F, Glocker B. Grounded object centric learning. arXiv. doi:10.48550/arXiv.2307.09437
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Zhu Z, Locatello F, Cevher V. Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. doi:10.48550/arXiv.2310.18123
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Montagna F, Mastakouri AA, Eulig E, et al. Assumption violations in causal discovery and the robustness of score matching. arXiv. doi:10.48550/arXiv.2310.13387
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Fumero M, Wenzel F, Zancato L, et al. Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. doi:10.48550/arXiv.2304.07939
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Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery. arXiv. doi:10.48550/arXiv.2306.00600
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Montagna F, Noceti N, Rosasco L, Locatello F. Shortcuts for causal discovery of nonlinear models by score matching. arXiv. doi:10.48550/arXiv.2310.14246
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Xu D, Yao D, Lachapelle S, et al. A sparsity principle for partially observable causal representation learning. In: Causal Representation Learning Workshop at NeurIPS 2023. OpenReview; 2023.
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Fu T, Liu Y, Barbier J, Mondelli M, Liang S, Hou T. Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE. doi:10.1109/isit54713.2023.10206671
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Marensi E, Yalniz G, Hof B. Dynamics and proliferation of turbulent stripes in plane-Poiseuille and plane-Couette flows. Journal of Fluid Mechanics. 2023;974. doi:10.1017/jfm.2023.780
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Jethwa RB, Mondal S, Pant B, Freunberger SA. To DISP or not? The farreaching reaction mechanisms underpinning Lithiumair batteries. Angewandte Chemie International Edition. 2023. doi:10.1002/anie.202316476
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Liu Z, Hong T, Xu L, et al. Lattice expansion enables interstitial doping to achieve a high average ZT in ntype PbS. Interdisciplinary Materials. 2023;2(1):161-170. doi:10.1002/idm2.12056
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Malvai H, Kokoris Kogias E, Sonnino A, et al. Parakeet: Practical key transparency for end-to-end eEncrypted messaging. In: Proceedings of the 2023 Network and Distributed System Security Symposium. Internet Society; 2023. doi:10.14722/ndss.2023.24545
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Benes N, Brim L, Pastva S, Safránek D, Smijáková E. Phenotype control of partially specified boolean networks. In: 21st International Conference on Computational Methods in Systems Biology. Vol 14137. Springer Nature; 2023:18-35. doi:10.1007/978-3-031-42697-1_2
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Lewin M, Lieb EH, Seiringer R. Universal Functionals in Density Functional Theory. In: Cances E, Friesecke G, eds. Density Functional Theory. 1st ed. MAMOMO. Springer; 2023:115-182. doi:10.1007/978-3-031-22340-2_3
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Becker LM, Berbon M, Vallet A, et al. The rigid core and flexible surface of amyloid fibrils probed by MagicAngle Spinning NMR of aromatic residues. Angewandte Chemie International Edition. 2023;62(19). doi:10.1002/anie.202219314
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Becker LM, Schanda P. Research data to: The rigid core and flexible surface of amyloid fibrils probed by magic-angle-spinning NMR spectroscopy of aromatic residues. 2023. doi:10.15479/AT:ISTA:12497
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Danzl JG. Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.”10.15479/AT:ISTA:13126__2023. doi:10.15479/AT:ISTA:13126
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Dunajova Z, Prats Mateu B, Radler P, et al. Chiral and nematic phases of flexible active filaments. 2023. doi:10.15479/AT:ISTA:13116
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Dunajova Z, Prats Mateu B, Radler P, et al. Chiral and nematic phases of flexible active filaments. Nature Physics. 2023;19:1916-1926. doi:10.1038/s41567-023-02218-w
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