Saran Tunyasuvunakool

Reinforcement Learning · 2015–2021

A researcher in the Science corpus: 8 papers; trusts 79 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Saran Tunyasuvunakool trusts overall

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

  1. Richard S. Sutton
  2. Nicolas Manfred Otto Heess
  3. Yuval Tassa
  4. Geoffrey E. Hinton
  5. E. Todorov
  6. Sergey Levine
  7. Diederik P. Kingma
  8. Josh Merel
  9. Tom Erez
  10. Yoshua Bengio

Who trusts Saran Tunyasuvunakool overall

  1. Caglar Gulcehre
  2. Siqi Liu
  3. Josh Merel
  4. Mehdi Mirza
  5. Cameron S. Allen

Papers from Saran Tunyasuvunakool's perspective

Ordered by how strongly the researchers Saran Tunyasuvunakool 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers