Andres A Contreras Marcillo

Computational Mechanics · 2020

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 39 citations into it
• Computational Theory and Mathematics — 20 citations into it
• Mathematical Physics — 19 citations into it
• Optimization & Training — 15 citations into it
• Numerical Analysis — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 7 citations into it
• Mathematical Optimization — 5 citations into it

Whom Andres A Contreras Marcillo trusts overall

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

1. Patrick L. Combettes
2. Ming Yan
3. Laurent Condat
4. Tom Goldstein
5. Stanley J. Osher
6. Antonin Chambolle
7. Luis M. Briceño-Arias
8. Heinz H. Bauschke
9. Wotao Yin
10. Pierre-Louis Lions

Papers from Andres A Contreras Marcillo's perspective

Ordered by how strongly the researchers Andres A Contreras Marcillo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Splitting Algorithms for the Sum of Two Nonlinear Operators
2. Signal Recovery by Proximal Forward-Backward Splitting
3. The Split Bregman Method for L1-Regularized Problems
4. ImageNet classification with deep convolutional neural networks
5. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
8. Regression Shrinkage and Selection via the Lasso
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Solving monotone inclusions via compositions of nonexpansive averaged operators

Their papers

• Proximal Splitting Algorithms: A Tour of Recent Advances, with New Twists. (2020) — 28 citations