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Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes.

, , , и . CoRR, (2023)

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Zhe Wang

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Zhe Wang

 

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Diffusion-Generative Multi-Fidelity Learning for Physical Simulation., , , и . CoRR, (2023)Conditional Expectation Propagation., и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 28-37. AUAI Press, (2019)AutoIP: A United Framework to Integrate Physics into Gaussian Processes., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 14210-14222. PMLR, (2022)Physics Informed Deep Kernel Learning., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 1206-1218. PMLR, (2022)Annealed Sparsity via Adaptive and Dynamic Shrinking., , , , , , , , и . KDD, стр. 1325-1334. ACM, (2016)Asynchronous Distributed Variational Gaussian Process for Regression., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2788-2797. PMLR, (2017)Probabilistic Streaming Tensor Decomposition., , , и . ICDM, стр. 99-108. IEEE Computer Society, (2018)Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients., , , и . CoRR, (2024)Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data., , , , , и . CoRR, (2023)Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models., , , , и . IJCAI, стр. 1867-1973. IJCAI/AAAI Press, (2016)