Justin Solomon
Applied Mathematics · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Applied Mathematics — 6 citations into it
Whom Justin Solomon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Justin Solomon's perspective
Ordered by how strongly the researchers Justin Solomon trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Transport for Applied Mathematicians
- A Multiscale Approach to Optimal Transport (Computer graphics forum (Print))
- Barycenters in the Wasserstein Space
- Super-Samples from Kernel Herding
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
Their papers
- Stochastic Wasserstein Barycenters (2018) — 79 citations