Jean Barbier

Computational Mechanics · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Barbier trusts overall

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

  1. Michel Talagrand
  2. David L. Donoho
  3. Francesco Guerra
  4. Gábor Lugosi
  5. Mohsen Bayati
  6. Dongning Guo
  7. Andrea Montanari
  8. Iain M. Johnstone
  9. M. M'ezard
  10. Sundeep Rangan

Who trusts Jean Barbier overall

  1. Stefano Spigler
  2. Nicolas Macris
  3. Benjamin Aubin
  4. Mario Geiger
  5. Florent Krzakala
  6. Matthieu Wyart
  7. Sebastian Goldt

Papers from Jean Barbier's perspective

Ordered by how strongly the researchers Jean Barbier 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. Regression Shrinkage and Selection via the Lasso
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. The dynamics of message passing on dense graphs, with applications to compressed sensing
  6. Understanding deep learning requires rethinking generalization
  7. Et al
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Deep Learning
  10. ImageNet: A large-scale hierarchical image database

Their papers