Showing 1–17 of 17 results
/ Date/ Name
Oct 25, 2023Streaming Factor Trajectory Learning for Temporal Tensor DecompositionNov 8, 2023Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor DataJul 14, 2020Streaming Probabilistic Deep Tensor FactorizationNov 8, 2023Solving High Frequency and Multi-Scale PDEs with Gaussian ProcessesAug 28, 2023BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionMay 14, 2025Generating Full-field Evolution of Physical Dynamics from Irregular Sparse ObservationsMay 20, 2025R&D-Agent: An LLM-Agent Framework Towards Autonomous Data ScienceDec 25, 2025When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank LearningAug 20, 2020Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to RankMay 12, 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationNov 9, 2023Diffusion-Generative Multi-Fidelity Learning for Physical SimulationFeb 10, 2025Functional Complexity-adaptive Temporal Tensor DecompositionMar 2, 2026Reasoning as Gradient: Scaling MLE Agents Beyond Tree SearchSep 4, 2024MarS: a Financial Market Simulation Engine Powered by Generative Foundation ModelMay 20, 2025Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and ForecastingNov 7, 2025Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent SpacesOct 30, 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes