Thomas Moreau

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Thomas Moreau trusts overall

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

1. Marco Cuturi
2. Francis R. Bach
3. Barbara Olshausen
4. Julien Mairal
5. Martial Agueh
6. Hédy Attouch
7. Yoshua Bengio
8. G. Peyr'e

Papers from Thomas Moreau's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Super-efficiency of automatic differentiation for functions defined as a minimum (2020) — 42 citations