DeepSPoC: A Deep Learning-Based PDE Solver Governed by Sequential Propagation of Chaos

29 August 2024

Papers citing "DeepSPoC: A Deep Learning-Based PDE Solver Governed by Sequential Propagation of Chaos"

5 / 5 papers shown

Title
Certified machine learning: A posteriori error estimation for physics-informed neural networks Birgit Hillebrecht B. Unger PINN 39 15 0 31 Mar 2022
Adaptive deep density approximation for Fokker-Planck equations Keju Tang Xiaoliang Wan Qifeng Liao 60 37 0 20 Mar 2021
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs Siddhartha Mishra Roberto Molinaro PINN 43 172 0 29 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 139 1,662 0 05 Dec 2019
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 100 1,373 0 30 Sep 2017