Michael Cohen

Artificial Intelligence · with Diakonikolas · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #27,965 of 35,345 by trust here, #32,362 by citations
• Computational Mechanics — 14 citations into it; #7,934 of 10,001 by trust here, #8,947 by citations
• Optimization & Training — 11 citations into it
• Numerical Analysis — 8 citations into it

Whom Michael Cohen trusts overall

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

1. Yurii E. Nesterov
2. Guanghui Lan
3. Saeed Ghadimi
4. Yves F. Atchadé
5. Alexandre d'Aspremont
6. Aharon Ben-Tal
7. Mark W. Schmidt
8. Olivier Devolder
9. Gersende Fort
10. Andre Wibisono

Who trusts Michael Cohen overall

1. Bugra Can
2. Mert Gurbuzbalaban
3. Mahmoud Assran

Papers from Michael Cohen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. A method for solving the convex programming problem with convergence rate O(1/k^2)
6. Learning Multiple Layers of Features from Tiny Images
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. A Stochastic Approximation Method
9. An optimal method for stochastic composite optimization
10. ImageNet: A large-scale hierarchical image database

Their papers

• On Acceleration with Noise-Corrupted Gradients (2018) — 90 citations