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5006 Publications
2023 | Conference Abstract | IST-REx-ID: 14865 | 
Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., & Sherwood, S. (2023). Evaluating memory properties in convection schemes using idealised tests. In EGU General Assembly 2023. Vienna, Austria & Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-4968
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2023 | Conference Abstract | IST-REx-ID: 14866 |
Abramian, S., Muller, C. J., & Risi, C. (2023). Extreme precipitation in tropical squall lines. In EGU General Assembly 2023. Vienna, Austria & Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-15870
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2023 | Journal Article | IST-REx-ID: 14920 |
Banerjee, T., Majumdar, R., Mallik, K., Schmuck, A.-K., & Soudjani, S. (2023). Fast symbolic algorithms for mega-regular games under strong transition fairness. TheoretiCS. EPI Sciences. https://doi.org/10.46298/theoretics.23.4
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| arXiv
2023 | Conference Paper | IST-REx-ID: 12859 |
Bombari, S., Kiyani, S., & Mondelli, M. (2023). Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník, P., Mondelli, M., & Lampert, C. (n.d.). Deep neural collapse is provably optimal for the deep unconstrained features model. In 37th Annual Conference on Neural Information Processing Systems. New Orleans, LA, United States.
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2023 | Conference Paper | IST-REx-ID: 14924 |
Wu, D., Kungurtsev, V., & Mondelli, M. (2023). Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In Transactions on Machine Learning Research. ML Research Press.
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| arXiv
2023 | Research Data Reference | IST-REx-ID: 14919 |
Shaw, T., Buri, P., McCarthy, M., Miles, E., & Pellicciotti, F. (2023). Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. Zenodo. https://doi.org/10.5281/ZENODO.8277285
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2023 | Thesis | IST-REx-ID: 13107 |
Knaus, L. (2023). The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13107
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2023 | Journal Article | IST-REx-ID: 12802 |
Knaus, L., Basilico, B., Malzl, D., Gerykova Bujalkova, M., Smogavec, M., Schwarz, L. A., … Novarino, G. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. Elsevier. https://doi.org/10.1016/j.cell.2023.02.037
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| WoS
2023 | Preprint | IST-REx-ID: 13312 |
Valentini, M., Sagi, O., Baghumyan, L., Gijsel, T. de, Jung, J., Calcaterra, S., … Katsaros, G. (n.d.). Radio frequency driven superconducting diode and parity conserving Cooper pair transport in a two-dimensional germanium hole gas. arXiv. https://doi.org/10.48550/arXiv.2306.07109
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2023 | Journal Article | IST-REx-ID: 14949 |
Burg, M., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., & Russell, C. (2023). Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. ML Research Press.
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2023 | Preprint | IST-REx-ID: 14946 |
Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G., … Locatello, F. (n.d.). Multi-view causal representation learning with partial observability. arXiv. https://doi.org/10.48550/arXiv.2311.04056
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2023 | 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 | Preprint | IST-REx-ID: 14948 |
Kori, A., Locatello, F., Ribeiro, F. D. S., Toni, F., & Glocker, B. (n.d.). Grounded object centric learning. arXiv. https://doi.org/10.48550/arXiv.2307.09437
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2023 | 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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| arXiv
2023 | 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 | Preprint | IST-REx-ID: 14210 |
Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S., … Locatello, F. (n.d.). Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. https://doi.org/10.48550/arXiv.2304.07939
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| arXiv
2023 | Preprint | IST-REx-ID: 14207 |
Löwe, S., Lippe, P., Locatello, F., & Welling, M. (n.d.). Rotating features for object discovery. arXiv. https://doi.org/10.48550/arXiv.2306.00600
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2023 | 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 | 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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