Chen Tessler

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Tessler trusts overall

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

  1. Ronald J. Williams
  2. John Schulman
  3. Richard S. Sutton
  4. Volodymyr Mnih
  5. E. Todorov
  6. Geoffrey E. Hinton
  7. David Silver
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Sergey Levine

Who trusts Chen Tessler overall

  1. Daniel Jaymin Mankowitz
  2. Gabriel Dulac-Arnold
  3. Tom Zahavy
  4. Nir Ben-Zrihem
  5. Yuxi Li
  6. Tuomas Haarnoja
  7. Sergey Levine
  8. Adam Stooke
  9. Pieter Abbeel
  10. Ruishan Liu

Papers from Chen Tessler's perspective

Ordered by how strongly the researchers Chen Tessler 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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