Sébastien Gadat

Optimization & Training · 2007–2017

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Gadat trusts overall

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

  1. Francis R. Bach
  2. Yurii E. Nesterov
  3. Boris Polyak
  4. Cédric Villani
  5. Guanghui Lan
  6. Alexandre Cabot
  7. Jérôme Bolte
  8. Robin Pemantle
  9. Wolfgang Hackbusch
  10. Anatoli B. Juditsky

Who trusts Sébastien Gadat overall

  1. Kumar Kshitij Patel
  2. Aymeric Dieuleveut
  3. Martin Heusel
  4. Nicolas Loizou
  5. Bugra Can
  6. Hubert Ramsauer
  7. Fabien Panloup
  8. Thomas Unterthiner
  9. Mert Gurbuzbalaban
  10. Sofiane Saadane

Papers from Sébastien Gadat's perspective

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

Their papers