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Multiple physics pretraining for physical surrogate models

, , , , , , , , , , и . arXiv preprint arXiv:2310.02994, (2023)

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Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure., и . CoRR, (2016)Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions., , , , и . CoRR, (2020)Scaling Laws for Associative Memories., , и . CoRR, (2023)On minimal variations for unsupervised representation learning., , и . CoRR, (2022)Birth of a Transformer: A Memory Viewpoint., , , , и . CoRR, (2023)On the Sample Complexity of Learning under Geometric Stability., , и . NeurIPS, стр. 18673-18684. (2021)Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 1945-1962. PMLR, (2022)Multiple physics pretraining for physical surrogate models, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2310.02994, (2023)Efficient Kernelized UCB for Contextual Bandits., , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5689-5720. PMLR, (2022)Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure., и . NIPS, стр. 1623-1633. (2017)