Thomas Kerdreux

Optimization & Training · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 66 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Kerdreux trusts overall

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

  1. Martin Jaggi
  2. Simon Lacoste-Julien
  3. Guanghui Lan
  4. Kenneth L. Clarkson
  5. Dan Garber
  6. Yurii E. Nesterov
  7. Sebastian Pokutta
  8. Francis R. Bach
  9. Alexandre d'Aspremont
  10. Piotr Bojanowski

Who trusts Thomas Kerdreux overall

  1. Sebastian Pokutta
  2. Alexandre d'Aspremont
  3. Fabian Pedregosa
  4. Xiangyu Yang
  5. Gábor Braun
  6. Christophe Roux
  7. Cyrille W. Combettes
  8. Francesco Rinaldi
  9. Lewis Liu
  10. Hao Wang

Papers from Thomas Kerdreux's perspective

Ordered by how strongly the researchers Thomas Kerdreux 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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