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Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes.

, , , и . CoRR, (2023)

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Shikai Qiao

Fang-Fang Tang

Xiangfan Fang

Yang Fang

Youkang Fang

 

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Diffusion-Generative Multi-Fidelity Learning for Physical Simulation., , , и . CoRR, (2023)Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data., , , , , и . CoRR, (2023)Solving High Frequency and Multi-Scale PDEs with Gaussian Processes., , , , , и . CoRR, (2023)Streaming Factor Trajectory Learning for Temporal Tensor Decomposition., , , , , и . CoRR, (2023)BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition., , , и . CoRR, (2023)Bayesian Continuous-Time Tucker Decomposition., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 6235-6245. PMLR, (2022)Online Bayesian Sparse Learning with Spike and Slab Priors., , , , и . ICDM, стр. 142-151. IEEE, (2020)Probabilistic Neural-Kernel Tensor Decomposition., , , и . ICDM, стр. 531-540. IEEE, (2020)Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes., , , и . CoRR, (2023)Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation., , , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 4485-4513. PMLR, (2023)