Michael Kaisers

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kaisers trusts overall

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

  1. Michael L. Littman
  2. Richard S. Sutton
  3. Michael H. Bowling
  4. Andrew Barto
  5. Ronen I. Brafman
  6. Peter Auer
  7. Yoshua Bengio
  8. Ben J. A. Kröse
  9. Karl Tuyls
  10. G. Tesauro

Who trusts Michael Kaisers overall

  1. Pablo Hernandez-Leal
  2. Karl Tuyls
  3. Georgios Papoudakis
  4. Daan Bloembergen
  5. Kaiqing Zhang
  6. Stefano V. Albrecht
  7. Sriram Srinivasan

Papers from Michael Kaisers's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Human-level control through deep reinforcement learning
  9. ImageNet: A large-scale hierarchical image database
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers