Pere Barlet-Ros

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pere Barlet-Ros trusts overall

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

  1. András Varga

Papers from Pere Barlet-Ros's perspective

Ordered by how strongly the researchers Pere Barlet-Ros 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. Human-level control through deep reinforcement learning
  3. Deep Learning
  4. Mastering the game of Go with deep neural networks and tree search
  5. The Graph Neural Network Model
  6. ImageNet classification with deep convolutional neural networks
  7. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  8. Gradient-based learning applied to document recognition
  9. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  10. Long Short-Term Memory

Their papers