Pedro A. Ortega

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 18 papers; trusts 196 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro A. Ortega trusts overall

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

  1. E. Todorov
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Andrew Barto
  5. Radford M. Neal
  6. Dimitri P. Bertsekas
  7. David John Cameron MacKay
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Michael L. Littman

Who trusts Pedro A. Ortega overall

  1. Daniel A. Braun
  2. Karl J. Friston
  3. Tom Everitt
  4. Hong Jun Jeon
  5. Brendan O'Donoghue
  6. Danijar Hafner
  7. Alexandre Galashov
  8. Ron Dorfman
  9. Eric Langlois
  10. Smitha Milli

Papers from Pedro A. Ortega's perspective

Ordered by how strongly the researchers Pedro A. Ortega 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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