David Mateos-Núñez

Computational Mechanics · 2015

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 9 citations into it; #7,309 of 10,001 by trust here, #8,566 by citations
• Artificial Intelligence — 5 citations into it; #25,995 of 35,345 by trust here, #31,361 by citations
• Computer Networks and Communications — 5 citations into it
• Optimization & Training — 5 citations into it

Whom David Mateos-Núñez trusts overall

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

1. E.J. Candes
2. B. Recht
3. Ming Yuan
4. Rafi Witten
5. Andreas Argyriou
6. Zaiwen Wen
7. Terence Tao
8. Yi Lin
9. Christopher R'e
10. Maryam Fazel

Who trusts David Mateos-Núñez overall

1. Mohammad Rostami

Papers from David Mateos-Núñez's perspective

Ordered by how strongly the researchers David Mateos-Núñez trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Distributed optimization for multi-task learning via nuclear-norm approximation (2015) — 16 citations