Pietro Lovato

2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pietro Lovato trusts overall

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

  1. Tommi S. Jaakkola
  2. Michael Gribskov
  3. Li Liao
  4. Kevin J. Karplus
  5. Anna Bosch
  6. Christina S. Leslie
  7. William Stafford Noble
  8. Josef Kittler
  9. Stephen F. Altschul
  10. David Haussler

Papers from Pietro Lovato's perspective

Ordered by how strongly the researchers Pietro Lovato 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. ImageNet: A large-scale hierarchical image database
  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. Long Short-Term Memory
  9. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  10. Going deeper with convolutions

Their papers