DeepParticle: Learning Invariant Measure by a Deep Neural Network Minimizing Wasserstein Distance on Data Generated from an Interacting Particle Method-Reference-Cited by-同舟云学术

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DeepParticle: Learning Invariant Measure by a Deep Neural Network Minimizing Wasserstein Distance on Data Generated from an Interacting Particle Method

Published:2021 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Wang Zhongjian,Xin Jack,Zhang Zhiwen

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference74 articles.

1. Numerical solution of inverse problems by weak adversarial networks;G Bao;Inverse Problems,2020

2. Learning data-driven discretizations of PDEs;Y Bar-Sinai;Bulletin of the American Physical Society,2018

3. Connections between deep learning and partial differential equations;M Burger;European Journal of Applied Mathematics,2021

4. Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation;Z Cai;Journal of Computational Physics,2021

5. Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs;Z Cai;Journal of Computational Physics,2020

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