Emmanuel Abbe

Statistical and Nonlinear Physics · 2007–2018

A researcher in the Science corpus: 8 papers; trusts 95 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Abbe trusts overall

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

  1. Mark Newman
  2. Frank McSherry
  3. Paul Holland
  4. Laurent Massoulié
  5. David L. Donoho
  6. Lada A. Adamic
  7. Uriel Feige
  8. Elchanan Mossel
  9. Michel Bierlaire
  10. Aaron Clauset

Who trusts Emmanuel Abbe overall

  1. Vijay Prakash Dwivedi
  2. Joan Bruna
  3. Zhengdao Chen
  4. Dexiong Chen
  5. Yuejie Chi
  6. Tien Mai
  7. Xavier Bresson
  8. Shaofei Cai
  9. Xiang Li
  10. Zachary B. Charles

Papers from Emmanuel Abbe's perspective

Ordered by how strongly the researchers Emmanuel Abbe 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers