Michael Hauser

Model Architectures · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 7 citations into it
• Artificial Intelligence — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Michael Hauser trusts overall

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

1. Yoshua Bengio
2. Xavier Glorot
3. David E. Rumelhart
4. Geoffrey E. Hinton
5. Kaiming He
6. Alex Graves
7. Yann LeCun
8. Ronald J. Williams
9. Sepp Hochreiter
10. Alex Krizhevsky

Who trusts Michael Hauser overall

1. François Rousseau
2. Lucas Drumetz
3. Ronan Fablet

Papers from Michael Hauser's perspective

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

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

Their papers

• Principles of Riemannian Geometry in Neural Networks (2017) — 77 citations