Markus Spies

Control and Systems Engineering · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Spies trusts overall

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

  1. Brian D. Ziebart
  2. Pieter Abbeel
  3. Andrew Y. Ng
  4. Martin A. Riedmiller
  5. Nathan D. Ratliff
  6. Serge P. Hoogendoorn
  7. Paul Vernaza
  8. Anders Johansson
  9. Mrinal Kalakrishnan
  10. J. Bagnell

Who trusts Markus Spies overall

  1. Lei Tai
  2. Saurabh Arora
  3. Yu Fan Chen
  4. Mark Pfeiffer
  5. Changan Chen

Papers from Markus Spies's perspective

Ordered by how strongly the researchers Markus Spies 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Maximum Entropy Inverse Reinforcement Learning
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers