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Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood S. Evaluating memory properties in convection schemes using idealised tests. In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-4968
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Abramian S, Muller CJ, Risi C. Extreme precipitation in tropical squall lines. In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-15870
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Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. Fast symbolic algorithms for mega-regular games under strong transition fairness. TheoretiCS. 2023;2. doi:10.46298/theoretics.23.4
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Bombari S, Kiyani S, Mondelli M. 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. ML Research Press; 2023:2738-2776.
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Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems.
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Shaw T, Buri P, McCarthy M, Miles E, Pellicciotti F. Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer. 2023. doi:10.5281/ZENODO.8277285
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Valentini M, Sagi O, Baghumyan L, et al. Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas. arXiv. doi:10.48550/arXiv.2306.07109
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Yao D, Xu D, Lachapelle S, et al. Multi-view causal representation learning with partial observability. arXiv. doi:10.48550/arXiv.2311.04056
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Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. Latent space translation via semantic alignment. arXiv. doi:10.48550/arXiv.2311.00664
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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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