Charles Dawson

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Dawson trusts overall

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

  1. Aaron D. Ames
  2. Peter Giesl
  3. Tim Allan Wheeler
  4. Matthias Althoff
  5. Yinlam Chow
  6. Ya-Chien Chang
  7. Felix Berkenkamp
  8. Richard Cheng
  9. Somil Bansal
  10. Joel A. E. Andersson

Papers from Charles Dawson's perspective

Ordered by how strongly the researchers Charles Dawson 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. Safe Model-based Reinforcement Learning with Stability Guarantees
  3. ImageNet classification with deep convolutional neural networks
  4. Reinforcement Learning: An Introduction
  5. A Lyapunov-based Approach to Safe Reinforcement Learning (Neural Information Processing Systems)
  6. Trust Region Policy Optimization (International Conference on Machine Learning)
  7. Human-level control through deep reinforcement learning
  8. Towards Deep Learning Models Resistant to Adversarial Attacks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers