Maxime Laborde

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 8 citations into it
• Optimization & Training — 8 citations into it
• Artificial Intelligence — 7 citations into it; #28,176 of 35,345 by trust here, #34,943 by citations
• Computational Mechanics — 6 citations into it; #7,997 of 10,001 by trust here, #9,862 by citations
• Numerical Analysis — 6 citations into it; #2,893 of 3,586 by trust here, #3,457 by citations

Whom Maxime Laborde trusts overall

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

1. Boris Polyak
2. Sébastien Bubeck
3. Bastian Goldlücke
4. Mark W. Schmidt
5. Hongzhou Lin
6. Laurent Lessard
7. Yurii E. Nesterov
8. Pratik Chaudhari
9. Heinz H. Bauschke

Who trusts Maxime Laborde overall

1. Canh T. Dinh

Papers from Maxime Laborde's perspective

Ordered by how strongly the researchers Maxime Laborde 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
9. Long Short-Term Memory
10. A Universal Catalyst for First-Order Optimization

Their papers

• A regularization interpretation of the proximal point method for weakly convex functions (2020) — 31 citations