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Statistical Guarantees of Group-Invariant GANs.

, , , и . CoRR, (2023)

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Markos Markaris

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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)Sample Complexity of Probability Divergences under Group Symmetry., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 4713-4734. PMLR, (2023)Graph-Informed Neural Networks., , , и . AAAI Spring Symposium: MLPS, том 2964 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Statistical Guarantees of Group-Invariant GANs., , , и . CoRR, (2023)Score-based generative models are provably robust: an uncertainty quantification perspective., , и . CoRR, (2024)Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences., , , , и . CoRR, (2024)Cumulant GAN., , , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (11): 9439-9450 (ноября 2023)How biased is your model? Concentration Inequalities, Information and Model Bias., , , и . CoRR, (2017)Parametric Sensitivity Analysis for Stochastic Molecular Systems using Information Theoretic Metrics., , , и . CoRR, (2014)