K. Zubov

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 K. Zubov trusts

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

  1. William W. Hager (in Computational Mechanics)
  2. J. Nathan Kutz (in Statistical and Nonlinear Physics)
  3. Steven L. Brunton (in Statistical and Nonlinear Physics)
  4. Joshua L. Proctor (in Statistical and Nonlinear Physics)

Papers from K. Zubov's perspective

Ordered by how strongly the researchers K. Zubov 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. Neural Ordinary Differential Equations
  3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  4. Discovering governing equations from data by sparse identification of nonlinear dynamical systems
  5. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
  6. On the limited memory BFGS method for large scale optimization
  7. Data-driven discovery of partial differential equations
  8. Dynamic mode decomposition of numerical and experimental data
  9. Artificial neural networks for solving ordinary and partial differential equations
  10. Approximation theory of the MLP model in neural networks

Their papers