Krishna C. Garikipati

Artificial Intelligence · 2002–2019

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Krishna C. Garikipati trusts overall

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

  1. Maizar Raissi

Who trusts Krishna C. Garikipati overall

  1. Susanne C. Brenner
  2. Emmanuil H. Georgoulis
  3. V. Kouznetsova
  4. Jean-François Ganghoffer
  5. Bernardo Cockburn
  6. H. Askes
  7. Igor Mozolevski
  8. Paul Houston
  9. Guosheng Fu
  10. Victor Manuel Calo

Papers from Krishna C. Garikipati's perspective

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

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

Their papers