11 citations · 25 across the 9 of their papers we have counts for
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cs.LG2022★ 11 cited
A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks
Jia Guo, Haifeng Wang, Chenping Hou
Physics-Informed Neural Networks (PINNs) have become a kind of attractive machine learning method for obtaining solutions of partial differential equations (PDEs). Training PINNs c…
math.DS2022
Kernel Methods for Regression in Continuous Time over Subsets and Manifolds
Nathan Powell, Jia Guo, Sai Tej Parachuri +3
This paper derives error bounds for regression in continuous time over subsets of certain types of Riemannian manifolds.The regression problem is typically driven by a nonlinear ev…
stat.ML2022
Koopman Methods for Estimation of Animal Motions over Unknown Submanifolds
Nathan Powell, Bowei Liu, Jia Guo +2
This paper introduces a data-dependent approximation of the forward kinematics map for certain types of animal motion models. It is assumed that motions are supported on a low-dime…