Zhiyu Shi

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiyu Shi trusts overall

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

  1. Maizar Raissi
  2. G. Em Karniadakis
  3. Xavier Glorot
  4. Xuhui Meng

Papers from Zhiyu Shi's perspective

Ordered by how strongly the researchers Zhiyu Shi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Understanding the difficulty of training deep feedforward neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. DeepXDE: A Deep Learning Library for Solving Differential Equations
  4. Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
  5. Artificial neural networks for solving ordinary and partial differential equations
  6. Understanding and mitigating gradient pathologies in physics-informed neural networks
  7. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  8. Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
  9. ImageNet classification with deep convolutional neural networks
  10. PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs

Their papers