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cs.LG2026
From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
Yanjie Tong, Peng Chen
Reconstructing high-dimensional spatiotemporal fields from sparse point-sensor measurements is a central challenge in learning parametric PDE dynamics. Existing approaches often st…
math.OC2026
Sequential Bayesian Optimal Experimental Design in Infinite Dimensions via Policy Gradient Reinforcement Learning
Kaichen Shen, Peng Chen
Sequential Bayesian optimal experimental design (SBOED) for PDE-governed inverse problems is computationally challenging, especially for infinite-dimensional random field parameter…