Javier F. Peña

Optimization & Training · 2007–2019

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Javier F. Peña trusts overall

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

  1. Martin Jaggi
  2. Yurii E. Nesterov
  3. Robert M. Freund
  4. Amir Beck
  5. Jonathan Michael Borwein
  6. John C. Duchi
  7. Marc Teboulle
  8. Claude Lemaréchal
  9. A. S. Lewis
  10. Shai Shalev-Shwartz

Who trusts Javier F. Peña overall

  1. Thomas Kerdreux
  2. Lewis Liu
  3. Johannes Heinrich
  4. Tuomas Sandholm
  5. Neil Burch
  6. Noam Brown
  7. Simon Lacoste-Julien
  8. Michael Bradley Johanson
  9. Kevin Waugh
  10. Damien Scieur

Papers from Javier F. Peña's perspective

Ordered by how strongly the researchers Javier F. Peña 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers