Noam Brown

Artificial Intelligence · 2002–2025

A researcher in the Science corpus: 14 papers; trusts 68 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Noam Brown trusts overall

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

  1. Michael Bradley Johanson
  2. Neil Burch
  3. Michael H. Bowling
  4. Yurii E. Nesterov
  5. Martin A. Zinkevich
  6. Oskari Tammelin
  7. Tuomas Sandholm
  8. David Silver
  9. Diederik P. Kingma
  10. Kevin Waugh

Who trusts Noam Brown overall

  1. Hengyuan Hu
  2. Adam Lerer
  3. Jakob N. Foerster
  4. Vojtěch Kovařík
  5. Kaiqing Zhang
  6. Marc Lanctot
  7. Lasse Becker-Czarnetzki
  8. Neil Burch
  9. Edward Lockhart
  10. Tuomas Sandholm

Papers from Noam Brown's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Asynchronous Methods for Deep Reinforcement Learning
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers