I. Miguel

Molecular Biology · 2011

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom I. Miguel trusts overall

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

  1. M. Baylac
  2. Yann LeCun
  3. Ardavan F. Oskooi
  4. David Posada
  5. Yoshua Bengio
  6. Masatoshi Nei
  7. Martin Friess
  8. C. Villemant

Papers from I. Miguel's perspective

Ordered by how strongly the researchers I. Miguel 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers