Savador Dura-Bernal

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Savador Dura-Bernal trusts overall

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

  1. Maizar Raissi
  2. Paris Perdikaris
  3. F. Sahli Costabal
  4. G. Em Karniadakis

Papers from Savador Dura-Bernal's perspective

Ordered by how strongly the researchers Savador Dura-Bernal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Automatic differentiation in machine learning: a survey
  2. Neural Ordinary Differential Equations
  3. Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
  4. Intriguing properties of neural networks
  5. Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
  6. Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
  7. Deep Learning
  8. Machine learning of linear differential equations using Gaussian processes
  9. Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations
  10. Inferring solutions of differential equations using noisy multi-fidelity data

Their papers