Michel Besserve

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 9 papers; trusts 288 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Michel Besserve trusts overall

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

  1. Dominik Janzing
  2. Bernhard Schölkopf
  3. Jan Peters
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Aapo Hyvärinen
  9. Yann LeCun
  10. Kaiming He

Who trusts Michel Besserve overall

  1. Bernhard Schölkopf
  2. Kacper P. Chwialkowski
  3. Rémy Sun
  4. Arthur Gretton
  5. Krikamol Muandet
  6. Stefan Bauer
  7. Francesco Locatello
  8. Felix Leeb
  9. Christina Heinze-Deml
  10. Yoshua Bengio

Papers from Michel Besserve's perspective

Ordered by how strongly the researchers Michel Besserve 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers