Robin San Roman

Generative Models · 2021

A researcher in the Science corpus: 1 paper; trusts 120 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Robin San Roman trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Aapo Hyvärinen
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Yang Song
  9. Kaiming He
  10. Jimmy Ba

Who trusts Robin San Roman overall

  1. Daniel Watson
  2. Zhisheng Xiao
  3. Lvmin Zhang
  4. Valentin De Bortoli
  5. Max W. Y. Lam
  6. Arash Vahdat
  7. Zhendong Wang
  8. Karsten Kreis
  9. Xiuyu Li
  10. Rongjie Huang

Papers from Robin San Roman's perspective

Ordered by how strongly the researchers Robin San Roman 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers