Héctor García Martín

Molecular Biology · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Héctor García Martín trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Fisher Yu
  6. Tim Salimans
  7. Yoshua Bengio
  8. Martin Steinegger
  9. Alex Krizhevsky
  10. Alex Graves

Who trusts Héctor García Martín overall

  1. Carola Simon
  2. Zachary Wu
  3. Hayssam Soueidan
  4. David R. Kelley
  5. Victor M. Markowitz
  6. Ali Madani
  7. Konrad U. Foerstner
  8. Torsten Thomas
  9. John C. Wooley
  10. Gail L. Rosen

Papers from Héctor García Martín's perspective

Ordered by how strongly the researchers Héctor García Martín 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers