Julien Pérolat

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 16 papers; trusts 117 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Pérolat trusts overall

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

  1. Michael L. Littman
  2. Michael H. Bowling
  3. Michail G. Lagoudakis
  4. Richard S. Sutton
  5. Dimitri P. Bertsekas
  6. Marc Lanctot
  7. Martin L. Puterman
  8. David Silver
  9. R´emi Munos
  10. Bruno Scherrer

Who trusts Julien Pérolat overall

  1. Zhuoran Yang
  2. Qiaomin Xie
  3. Joel Z. Leibo
  4. Thanh Thi Nguyen
  5. Zhaoran Wang
  6. Marc Lanctot
  7. Yuchen Xie
  8. Yudong Chen
  9. Vinícius Flores Zambaldi
  10. Matthieu Geist

Papers from Julien Pérolat's perspective

Ordered by how strongly the researchers Julien Pérolat trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Reinforcement Learning: An Introduction
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers