Philippe Donnat

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 12 citations into it; #988 of 2,278 by trust here, #2,009 by citations
• Signal Processing — 8 citations into it; #2,575 of 7,572 by trust here, #5,340 by citations
• Management Science and Operations Research — 7 citations into it; #3,745 of 11,946 by trust here, #7,638 by citations
• Economics and Econometrics — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Philippe Donnat trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Yoshua Bengio
4. J. Urgen Schmidhuber
5. Geoffrey E. Hinton
6. Kaiming He
7. Sepp Hochreiter
8. Christopher A. Sims
9. Aäron van den Oord
10. Alex Krizhevsky

Who trusts Philippe Donnat overall

1. Anastasia Borovykh
2. Bryan Lim

Papers from Philippe Donnat's perspective

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

Their papers

• Autoregressive Convolutional Neural Networks for Asynchronous Time Series (2017) — 164 citations