Jaime Fernández Fisac

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jaime Fernández Fisac trusts overall

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

  1. Ian M. Mitchell
  2. Alan Genz
  3. Stanley J. Osher
  4. Jeremy H. Gillula
  5. J. Kolter
  6. Claire Jennifer Tomlin
  7. Ronald Fedkiw
  8. Andrew Y. Ng
  9. David Silver
  10. Pieter Abbeel

Who trusts Jaime Fernández Fisac overall

  1. Somil Bansal
  2. Victoria Krakovna
  3. Mo Chen
  4. Shangding Gu
  5. Sylvia L. Herbert
  6. Lukas Brunke
  7. Brijen Thananjeyan
  8. Claire Jennifer Tomlin
  9. Laurent Orseau
  10. Felix Berkenkamp

Papers from Jaime Fernández Fisac's perspective

Ordered by how strongly the researchers Jaime Fernández Fisac 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers