Loucas Pillaud-Vivien

Optimization & Training · 2017

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 — 20 citations into it
• Artificial Intelligence — 19 citations into it
• Computational Mechanics — 11 citations into it
• Statistics and Probability — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Loucas Pillaud-Vivien trusts overall

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

1. Francis R. Bach
2. Rie Johnson
3. Eric Moulines
4. Tong Zhang
5. Nicolas Le Roux
6. Alexander Rakhlin
7. Yuan Yao
8. Lorenzo Rosasco
9. Mark W. Schmidt
10. Yurii E. Nesterov

Who trusts Loucas Pillaud-Vivien overall

1. Lénaïc Chizat

Papers from Loucas Pillaud-Vivien's perspective

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

Their papers

• Exponential convergence of testing error for stochastic gradient methods (2017) — 36 citations