Francisco J. R. Ruiz

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 9 papers; trusts 341 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Francisco J. R. Ruiz trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Michael I. Jordan
  5. Michalis K. Titsias
  6. Radford M. Neal
  7. David M. Blei
  8. Tomas Mikolov
  9. Danilo Jimenez Rezende
  10. Alex Krizhevsky

Who trusts Francisco J. R. Ruiz overall

  1. Susan Athey
  2. Qiang Liu
  3. David M. Blei
  4. Mingzhang Yin
  5. Chris J. Maddison
  6. Stephan Mandt
  7. Kai Xu
  8. Wonyeol Lee
  9. Jinyang Yuan
  10. Shakir Mohamed

Papers from Francisco J. R. Ruiz's perspective

Ordered by how strongly the researchers Francisco J. R. Ruiz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers