Frank Sehnke

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Sehnke trusts overall

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

  1. Jan Peters
  2. Ronald J. Williams
  3. Nikolaus Hansen
  4. Stefan Schaal
  5. Alex Graves
  6. Richard S. Sutton
  7. Tom Schaul
  8. Martin A. Riedmiller
  9. Thomas Rückstieß
  10. J. Urgen Schmidhuber

Who trusts Frank Sehnke overall

  1. J. Urgen Schmidhuber
  2. Marc Peter Deisenroth
  3. David R Ha
  4. Mandy Grüttner
  5. Tom Schaul
  6. Nicolas Usunier
  7. Gerhard Neumann
  8. Jan Peters
  9. Yoshua Bengio
  10. Sergey Levine

Papers from Frank Sehnke's perspective

Ordered by how strongly the researchers Frank Sehnke 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Reinforcement Learning: An Introduction
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  10. ImageNet: A large-scale hierarchical image database

Their papers