Paul Tonelli

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Tonelli trusts overall

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

  1. Kenneth O. Stanley
  2. Andrea Soltoggio
  3. Sebastian Risi
  4. Jean-Baptiste Mouret
  5. Dario Floreano
  6. Richard S. Sutton
  7. Claudio Mattiussi
  8. Risto Miikkulainen
  9. Peter Dürr
  10. Kalyanmoy Deb

Who trusts Paul Tonelli overall

  1. Oliver J. Coleman
  2. Jean-Baptiste Mouret
  3. Alan D. Blair
  4. Andrea Soltoggio
  5. Kenneth O. Stanley

Papers from Paul Tonelli's perspective

Ordered by how strongly the researchers Paul Tonelli trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet: A large-scale hierarchical image database

Their papers