Nicolas Flammarion

Optimization & Training · with Bach · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 14 citations into it
• Artificial Intelligence — 11 citations into it; #19,135 of 35,345 by trust here, #19,873 by citations
• Computational Mechanics — 10 citations into it; #5,173 of 10,001 by trust here, #4,450 by citations
• Statistics and Probability — 8 citations into it

Whom Nicolas Flammarion trusts overall

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

1. Francis R. Bach
2. Guanghui Lan
3. Yurii E. Nesterov
4. Ohad Shamir
5. Alexandre B. Tsybakov
6. Ofer Dekel
7. Andrew Cotter
8. Tong Zhang

Who trusts Nicolas Flammarion overall

1. Aymeric Dieuleveut
2. Sham M. Kakade
3. Prateek Jain
4. Rong Ge
5. Rahul Kidambi
6. Kumar Kshitij Patel

Papers from Nicolas Flammarion's perspective

Ordered by how strongly the researchers Nicolas Flammarion 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression (2016) — 244 citations