Marco P Lehmann
Cognitive Neuroscience · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 58 citations into it
- Cellular and Molecular Neuroscience — 45 citations into it
- Electrical and Electronic Engineering — 36 citations into it
- Artificial Intelligence — 21 citations into it
- Reinforcement Learning — 14 citations into it
Whom Marco P Lehmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Barto
- Wolfram Schultz
- Ronald J. Williams
- J. Urgen Schmidhuber
- Satinder Singh
- Kenji Doya
- A. Harry Klopf
- Razvan V. Florian
- Kenneth D. Miller
Papers from Marco P Lehmann's perspective
Ordered by how strongly the researchers Marco P Lehmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Asynchronous Methods for Deep Reinforcement Learning
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images