Alexander Hans

2008

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Alexander Hans trusts overall

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

1. Martin A. Riedmiller
2. Pieter Abbeel
3. Andrew Y. Ng
4. Richard S. Sutton

Who trusts Alexander Hans overall

1. Matteo Turchetta
2. Felix Berkenkamp
3. David Abel
4. Tommaso Mannucci
5. Javier García
6. Zachary Chase Lipton
7. Andreas Krause
8. John Salvatier
9. E. van Kampen

Papers from Alexander Hans's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Safe exploration for reinforcement learning (2008) — 146 citations