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684 Publications
2023 | Submitted | Preprint | IST-REx-ID: 14952 | 
Maiorca, V., Moschella, L., Norelli, A., Fumero, M., Locatello, F., & Rodolà, E. (n.d.). Latent space translation via semantic alignment. arXiv. https://doi.org/10.48550/arXiv.2311.00664
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2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Zhu, Z., Locatello, F., & Cevher, V. (n.d.). Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. https://doi.org/10.48550/arXiv.2310.18123
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2023 | Submitted | Preprint | IST-REx-ID: 14954 |
Montagna, F., Mastakouri, A. A., Eulig, E., Noceti, N., Rosasco, L., Janzing, D., … Locatello, F. (n.d.). Assumption violations in causal discovery and the robustness of score matching. arXiv. https://doi.org/10.48550/arXiv.2310.13387
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
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.
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2023 | Submitted | Preprint | IST-REx-ID: 14961 |
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
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2023 | Submitted | Preprint | IST-REx-ID: 14962 |
Fan, K., Bai, Z., Xiao, T., Zietlow, D., Horn, M., Zhao, Z., … He, T. (n.d.). Unsupervised open-vocabulary object localization in videos. arXiv. https://doi.org/10.48550/arXiv.2309.09858
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2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Zhao, Z., Wang, J., Horn, M., Ding, Y., He, T., Bai, Z., … Xiao, T. (n.d.). Object-centric multiple object tracking. arXiv. https://doi.org/10.48550/arXiv.2309.00233
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2023 | Epub ahead of print | Conference Paper | IST-REx-ID: 14974 |
Zhang, C., Janzing, D., van der Schaar, M., Locatello, F., Spirtes, P., Zhang, K., … Uhler, C. (2023). Causality in the time of LLMs: Round table discussion results of CLeaR 2023. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
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2023 | Published | Journal Article | IST-REx-ID: 14985 |
Liu, Z., Hong, T., Xu, L., Wang, S., Gao, X., Chang, C., … Zhao, L. (2023). Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS. Interdisciplinary Materials. Wiley. https://doi.org/10.1002/idm2.12056
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2023 | Research Data Reference | IST-REx-ID: 14990 |
Meggendorfer, T. (2023). Artefact for: Correct Approximation of Stationary Distributions. Zenodo. https://doi.org/10.5281/ZENODO.7548214
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2023 | Research Data Reference | IST-REx-ID: 14991 |
Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., & Sherwood, S. C. (2023). Data-assessing memory in convection schemes using idealized tests. Zenodo. https://doi.org/10.5281/ZENODO.7757041
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2023 | Published | Book Chapter | IST-REx-ID: 14992 |
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
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2023 | Published | Conference Paper | IST-REx-ID: 14993 |
Currin, C., Asiedu , M. N., Fourie, C., Rosman, B., Turki, H., Lambebo Tonja, A., … Machangara, D. (2023). A framework for grassroots research collaboration in machine learning and global health. In 1st Workshop on Machine Learning & Global Health. Kigali, Rwanda: OpenReview.
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2023 | Research Data Reference | IST-REx-ID: 14994 |
Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., & Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. Zenodo. https://doi.org/10.5281/ZENODO.7877790
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2023 | Research Data Reference | IST-REx-ID: 14995 |
Koval, N., Fedorov, A., Sokolova, M., Tsitelov, D., & Alistarh, D.-A. (2023). Lincheck: A practical framework for testing concurrent data structures on JVM. Zenodo. https://doi.org/10.5281/ZENODO.7877757
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2023 | Published | Conference Paper | IST-REx-ID: 15023 |
Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
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| arXiv
2023 | Research Data Reference | IST-REx-ID: 15027 |
Curk, S. (2023). aggregation_data. Figshare.
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2023 | Submitted | Preprint | IST-REx-ID: 15039 |
Prach, B., & Lampert, C. (n.d.). 1-Lipschitz neural networks are more expressive with N-activations. arXiv. https://doi.org/10.48550/ARXIV.2311.06103
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2023 | Submitted | Preprint | IST-REx-ID: 15128 |
Riabov, V. (n.d.). Mesoscopic eigenvalue statistics for Wigner-type matrices. arXiv. https://doi.org/10.48550/arXiv.2301.01712
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 15129 |
O’Brien, R. E., Bravo, J. P. K., Ramos, D., Hibshman, G. N., Wright, J. T., & Taylor, D. W. (2023). Structural snapshots of R-loop formation by a type I-C CRISPR Cascade. Molecular Cell. Elsevier. https://doi.org/10.1016/j.molcel.2023.01.024
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