Michael Snow

Applied Mathematics · 2016

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

Subfields

• Applied Mathematics — 5 citations into it

Whom Michael Snow trusts overall

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

1. Cédric Villani

Papers from Michael Snow's perspective

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

1. Optimal Transport: Old and New
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Information Theory: 1948-1998 - Guest Editorial
8. Generalization of an Inequality by Talagrand and Links with the Logarithmic Sobolev Inequality
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Monge's Optimal Transport Distance for Image Classification (2016) — 10 citations