Xiang-Yun Deng

Statistical and Nonlinear Physics · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 16 citations into it

Whom Xiang-Yun Deng trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. G. Em Karniadakis (in Statistical and Nonlinear Physics)

Papers from Xiang-Yun Deng's perspective

Ordered by how strongly the researchers Xiang-Yun Deng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Understanding the difficulty of training deep feedforward neural networks
3. Automatic differentiation in machine learning: a survey
4. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
5. Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
6. fPINNs: Fractional Physics-Informed Neural Networks
7. Adaptive activation functions accelerate convergence in deep and physics-informed neural networks (Journal of Computational Physics)
8. Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
9. Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
10. DeepXDE: A Deep Learning Library for Solving Differential Equations

Their papers

• A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations (2022) — 371 citations