Thomas Mesnard

Artificial Intelligence · arXiv.org · 2019–2025

A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Mesnard trusts overall

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

  1. Ronald J. Williams
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Danilo Jimenez Rezende
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Alex Graves
  10. Yann LeCun

Who trusts Thomas Mesnard overall

  1. David Venuto
  2. David Raposo
  3. Lili Chen

Papers from Thomas Mesnard's perspective

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

Their papers