Daniel Hennes

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Hennes trusts overall

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

  1. Michael H. Bowling
  2. Richard S. Sutton
  3. Karl Tuyls
  4. Andrew Barto
  5. Geoffrey E. Hinton
  6. Satinder Singh
  7. H. Brendan McMahan
  8. Josef Hofbauer
  9. Noam Brown
  10. Alex Graves

Papers from Daniel Hennes's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Reinforcement Learning: An Introduction
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers