Guillaume Baudart

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume Baudart trusts overall

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

  1. Matthew D. Hoffman
  2. Dustin Tran
  3. Andrew Gelman
  4. S. Staton
  5. Alp Kucukelbir
  6. John K. Kruschke
  7. Joseph Hilbe
  8. David M. Blei
  9. Radford M. Neal
  10. Du Phan

Who trusts Guillaume Baudart overall

  1. Louis Mandel

Papers from Guillaume Baudart's perspective

Ordered by how strongly the researchers Guillaume Baudart 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers