Paul C. Bogdan

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Paul C. Bogdan trusts overall

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

  1. Zong-Yi Li
  2. Nikola B. Kovachki

Who trusts Paul C. Bogdan overall

  1. Zijie Li
  2. Amir Barati Farimani
  3. Kazem Meidani

Papers from Paul C. Bogdan's perspective

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

  1. Fourier Neural Operator for Parametric Partial Differential Equations (International Conference on Learning Representations)
  2. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators (Nature Machine Intelligence)
  3. Solving ill-posed inverse problems using iterative deep neural networks
  4. Error estimates for DeepOnets: A deep learning framework in infinite dimensions (Transactions of Mathematics and Its Applications)
  5. Convolutional Neural Networks for Steady Flow Approximation (Knowledge Discovery and Data Mining)
  6. Neural Operator: Graph Kernel Network for Partial Differential Equations (International Conference on Learning Representations)
  7. Learning the solution operator of parametric partial differential equations with physics-informed DeepONets (Science Advances)
  8. Solving parametric PDE problems with artificial neural networks (European journal of applied mathematics)
  9. Machine learning–accelerated computational fluid dynamics (Proceedings of the National Academy of Sciences of the United States of America)
  10. Ten Lectures on Wavelets

Their papers