Matthieu Wyart

Artificial Intelligence · 2003–2021

A researcher in the Science corpus: 28 papers; trusts 127 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Matthieu Wyart trusts overall

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

  1. Christopher K. I. Williams
  2. Jean-Philippe Bouchaud
  3. Ananth Madhavan
  4. Yann LeCun
  5. Radford M. Neal
  6. Arthur Jacot
  7. Geoffrey E. Hinton
  8. Silvio Franz
  9. Francis R. Bach
  10. Diederik P. Kingma

Who trusts Matthieu Wyart overall

  1. Mario Geiger
  2. Stefano Spigler
  3. Giorgio Parisi
  4. Silvio Franz
  5. Adrian Baule
  6. Patrick Charbonneau
  7. Le Yan
  8. Francesco Zamponi
  9. Pierfrancesco Urbani
  10. Edan Lerner

Papers from Matthieu Wyart's perspective

Ordered by how strongly the researchers Matthieu Wyart 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers