Matthieu Martin

Optimization & Training · with Krumscheid · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 9 citations into it
• Computational Mechanics — 5 citations into it

Whom Matthieu Martin trusts overall

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

1. David Ruppert
2. Francis R. Bach
3. Anatoli B. Juditsky
4. Boris Polyak
5. Ivo Babuska
6. Aymeric Dieuleveut
7. Alexandre D'efossez
8. Mark W. Schmidt
9. Raúl Tempone
10. Yurii E. Nesterov

Papers from Matthieu Martin's perspective

Ordered by how strongly the researchers Matthieu Martin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. A Stochastic Approximation Method
9. Acceleration of stochastic approximation by averaging
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters (2021) — 59 citations