Dominik R. Bach

Cognitive Neuroscience · 2012

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

Subfields

Whom Dominik R. Bach trusts overall

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

  1. Karl J. Friston
  2. Peter S. Dayan
  3. Konrad Paul Kording
  4. Kerstin Preuschoff

Who trusts Dominik R. Bach overall

  1. S. V. D. Cruys
  2. Stephen M. Fleming
  3. R. Carleton
  4. Jacqueline Gottlieb

Papers from Dominik R. Bach's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Human-level control through deep reinforcement learning
  7. Learning to predict by the methods of temporal differences
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers