Blai Bonet

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Blai Bonet trusts overall

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

  1. Nils J. Nilsson
  2. Hector Geffner
  3. Masataro Asai
  4. Martin L. Puterman
  5. Eric A. Hansen
  6. Richard S. Sutton
  7. Mario Martín
  8. Drew V. McDermott
  9. Alan Fern
  10. Roni Khardon

Who trusts Blai Bonet overall

  1. Malte Helmert
  2. Hector Geffner
  3. Malik Ghallab
  4. Jussi Rintanen
  5. Tom Silver
  6. Miquel Ramírez
  7. Paolo Traverso
  8. Silvia Richter
  9. Caelan Reed Garrett
  10. Siddharth Srivastava

Papers from Blai Bonet's perspective

Ordered by how strongly the researchers Blai Bonet 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. Reinforcement Learning: An Introduction
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers