Gaurav Gupta

Statistical and Nonlinear Physics · with Bogdan · 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 Gaurav Gupta trusts overall

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

  1. Zong-Yi Li
  2. Nikola B. Kovachki
  3. Kamyar Azizzadenesheli
  4. Kaushik Bhattacharya
  5. Ingrid Daubechies
  6. Arnold Neumaier
  7. Burigede Liu
  8. Andrew M. Stuart
  9. Yuanlu Li
  10. Maizar Raissi

Who trusts Gaurav Gupta overall

  1. Zijie Li
  2. Tian Zhou
  3. Haixu Wu
  4. Shuhao Cao
  5. Kazem Meidani
  6. Ziqing Ma
  7. Huakun Luo

Papers from Gaurav Gupta's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Fourier Neural Operator for Parametric Partial Differential Equations (International Conference on Learning Representations)
  4. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators (Nature Machine Intelligence)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Solving ill-posed inverse problems using iterative deep neural networks
  7. Error estimates for DeepOnets: A deep learning framework in infinite dimensions (Transactions of Mathematics and Its Applications)
  8. Convolutional Neural Networks for Steady Flow Approximation (Knowledge Discovery and Data Mining)
  9. Neural Operator: Graph Kernel Network for Partial Differential Equations (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers