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Spatial Two-Level Interacting Particle Simulations and Information Theory-Based Error Quantification., , и . SIAM J. Sci. Comput., (2014)Structure-preserving GANs., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 1982-2020. PMLR, (2022)Function-space regularized Rényi divergences., , , , и . CoRR, (2022)Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE., и . SIAM/ASA J. Uncertain. Quantification, 6 (4): 1364-1394 (2018)Scalable information inequalities for uncertainty quantification., , и . J. Comput. Phys., (2017)Statistical Guarantees of Group-Invariant GANs., , , и . CoRR, (2023)Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences., , , , и . CoRR, (2024)Score-based generative models are provably robust: an uncertainty quantification perspective., , и . CoRR, (2024)Graph-Informed Neural Networks., , , и . AAAI Spring Symposium: MLPS, том 2964 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)(f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics., , , , и . J. Mach. Learn. Res., (2022)