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cs.LG2024
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis
Yesom Park, Changhoon Song, Myungjoo Kang
Physics-informed neural networks (PINNs) have recently emerged as effective methods for solving partial differential equations (PDEs) in various problems. Substantial research focu…
cs.LG2023★ 1 cited
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park, Jaemoo Choi, Changyeon Yoon +2
Learning underlying dynamics from data is important and challenging in many real-world scenarios. Incorporating differential equations (DEs) to design continuous networks has drawn…