Daniel A. Braun

Artificial Intelligence · 2008–2015

A researcher in the Science corpus: 8 papers; trusts 70 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel A. Braun trusts overall

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

  1. E. Todorov
  2. Richard S. Sutton
  3. Pedro A. Ortega
  4. D. M. Wolpert
  5. Dimitri P. Bertsekas
  6. Konrad Paul Kording
  7. Stuart J. Russell
  8. Andrew Barto
  9. Michael L. Littman
  10. David John Cameron MacKay

Who trusts Daniel A. Braun overall

  1. Pedro A. Ortega
  2. Samuel J. Gershman
  3. Karl J. Friston
  4. D. M. Wolpert
  5. Bruno Castro da Silva
  6. Myrto I. Mylopoulos
  7. Hong Jun Jeon
  8. Jacqueline Gottlieb
  9. Danijar Hafner
  10. Matthew Botvinick

Papers from Daniel A. Braun's perspective

Ordered by how strongly the researchers Daniel A. Braun 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. Gradient-based learning applied to document recognition
  5. Reinforcement Learning: An Introduction
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Human-level control through deep reinforcement learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers