Reza Vaziri

Statistical and Nonlinear Physics · 2001–2020

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Vaziri trusts overall

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

  1. William Stafford Noble
  2. Paris Perdikaris
  3. Timon Rabczuk
  4. G. Em Karniadakis
  5. Diederik P. Kingma
  6. Jimmy Ba

Who trusts Reza Vaziri overall

  1. Romesh C. Batra
  2. L. Iannucci
  3. S. Niaki

Papers from Reza Vaziri's perspective

Ordered by how strongly the researchers Reza Vaziri 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. Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
  9. Physics-Informed Neural Networks for Cardiac Activation Mapping
  10. Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

Their papers