Gilles Gasso

Computational Mechanics · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 26 citations into it; #8,411 of 10,001 by trust here, #5,350 by citations
• Statistics and Probability — 23 citations into it
• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #18,224 of 21,575 by trust here, #14,822 by citations
• Applied Mathematics — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Biomedical Engineering — 5 citations into it; #9,861 of 10,734 by trust here, #8,278 by citations
• Statistical Learning Theory — 5 citations into it

Whom Gilles Gasso trusts overall

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

1. David L. Donoho
2. Joel A. Tropp
3. E.J. Candes
4. Hui Zou
5. Nicolai Meinshausen
6. Peng Zhao
7. Robert Tibshirani
8. Berwin A. Turlach
9. Mário A. T. Figueiredo
10. Terence Tao

Who trusts Gilles Gasso overall

1. Canyi Lu
2. Julien Mairal
3. Wangmeng Zuo
4. Pinghua Gong
5. Francis R. Bach
6. Jinhui Tang
7. Deyu Meng
8. Changshui Zhang

Papers from Gilles Gasso's perspective

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

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

Their papers

• Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming (2009) — 329 citations
• $\ell_{p}-\ell_{q}$ Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning (2011) — 94 citations