Alex Peysakhovich

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 11 papers; trusts 209 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Peysakhovich trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Richard S. Sutton
  4. G. Tesauro
  5. Geoffrey E. Hinton
  6. Jakob N. Foerster
  7. Volodymyr Mnih
  8. Yoshua Bengio
  9. David Silver
  10. Jimmy Ba

Who trusts Alex Peysakhovich overall

  1. Adam Lerer
  2. Zhen-Yu Tang
  3. Angeliki Lazaridou
  4. Andrea Tacchetti
  5. Tonghan Wang
  6. Luca Weihs
  7. Hengyuan Hu
  8. Chao Yu
  9. Edward Hughes
  10. H. Francis Song

Papers from Alex Peysakhovich's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers