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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification.

, , , , и . CoRR, (2023)

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Zhiguo Deng

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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification., , , , и . CoRR, (2023)Robustness Implies Generalization via Data-Dependent Generalization Bounds., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 10866-10894. PMLR, (2022)HappyMap : A Generalized Multicalibration Method., , и . ITCS, том 251 из LIPIcs, стр. 41:1-41:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Decision-Aware Conditional GANs for Time Series Data., , , и . ICAIF, стр. 36-45. ACM, (2023)Adversarial Training Helps Transfer Learning via Better Representations., , , , и . NeurIPS, стр. 25179-25191. (2021)An Economic Solution to Copyright Challenges of Generative AI., , , , и . CoRR, (2024)FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data., , , , , , и . ICLR, OpenReview.net, (2023)Provable Multi-Party Reinforcement Learning with Diverse Human Feedback., , , , и . CoRR, (2024)How Shrinking Gradient Noise Helps the Performance of Neural Networks., , и . IEEE BigData, стр. 1002-1007. IEEE, (2021)How Does Mixup Help With Robustness and Generalization?, , , , и . ICLR, OpenReview.net, (2021)