Étienne Simon

Model Architectures · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 11 citations into it

Whom Étienne Simon trusts overall

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

1. Yoshua Bengio
2. Alex Graves
3. Xavier Glorot
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Sepp Hochreiter
7. Antoine Bordes

Who trusts Étienne Simon overall

1. Matthew Veres
2. Yong Kiam Tan

Papers from Étienne Simon's perspective

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

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

Their papers

• Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations
• Artificial Neural Networks Applied to Taxi Destination Prediction (2015) — 197 citations