Jason M. Altschuler

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jason M. Altschuler trusts overall

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

  1. Sébastien Bubeck
  2. Philippe Rigollet
  3. Alexandre B. Tsybakov
  4. Nicolò Cesa-Bianchi
  5. Ofir Pele
  6. Anatoli B. Juditsky
  7. Marco Cuturi
  8. Aude Genevay
  9. Jean-David Benamou
  10. Gábor Lugosi

Who trusts Jason M. Altschuler overall

  1. Yujia Xie
  2. G. Peyr'e
  3. Eric Wong
  4. Xiangfeng Wang
  5. Jean Feydy
  6. Silvia Chiappa
  7. Ruijia Wang
  8. Marco Cuturi
  9. Hongyuan Zha
  10. Frank R. Schmidt

Papers from Jason M. Altschuler's perspective

Ordered by how strongly the researchers Jason M. Altschuler 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. The Earth Mover's Distance as a Metric for Image Retrieval
  4. Prediction, learning, and games
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. GENERATIVE ADVERSARIAL NETS

Their papers