Mathieu Seurin

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 119 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mathieu Seurin trusts overall

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

  1. Yoshua Bengio
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Kaiming He
  8. Alex Krizhevsky
  9. Andrew Barto
  10. Tom Schaul

Who trusts Mathieu Seurin overall

  1. Timothée Lesort
  2. Alexandre Heuillet
  3. Natalia Díaz Rodríguez
  4. Antonin Raffin
  5. Ted Xiao

Papers from Mathieu Seurin's perspective

Ordered by how strongly the researchers Mathieu Seurin 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers