Xinglong Li

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinglong Li trusts overall

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

  1. William Stafford Noble
  2. Diederik P. Kingma
  3. Maizar Raissi
  4. Cosmin Anitescu

Papers from Xinglong Li's perspective

Ordered by how strongly the researchers Xinglong Li 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. Deep Learning
  3. TensorFlow: A system for large-scale machine learning
  4. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  5. Automatic differentiation in machine learning: a survey
  6. DGM: A deep learning algorithm for solving partial differential equations
  7. DeepXDE: A Deep Learning Library for Solving Differential Equations
  8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  9. Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
  10. Physics-Informed Neural Networks for Cardiac Activation Mapping

Their papers