Nico Hauff

Control and Systems Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 19 citations into it
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Reinforcement Learning — 8 citations into it
• Robotics & Control — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Nico Hauff trusts overall

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

1. Sergey Levine
2. Diederik P. Kingma
3. Lerrel Pinto
4. Alex Krizhevsky
5. Jimmy Ba
6. Geoffrey E. Hinton
7. Chelsea Finn
8. Abdeslam Boularias
9. Pieter Abbeel
10. Yoshua Bengio

Who trusts Nico Hauff overall

1. Kuan Fang

Papers from Nico Hauff's perspective

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

Their papers

• Learning to Singulate Objects using a Push Proposal Network (2017) — 86 citations