Alexander Tong
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Generative Models — 24 citations into it
- Statistical and Nonlinear Physics — 22 citations into it
- Optimization & Training — 13 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Signal Processing — 12 citations into it
- Applied Mathematics — 9 citations into it
Whom Alexander Tong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- Diederik P. Kingma
- Danilo Jimenez Rezende
- Jean-David Benamou
- Geoffrey E. Hinton
- Cédric Villani
- Yoshua Bengio
- Alex Krizhevsky
- T. Chen
- Shakir Mohamed
Who trusts Alexander Tong overall
Papers from Alexander Tong's perspective
Ordered by how strongly the researchers Alexander Tong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improving and generalizing flow-based generative models with minibatch optimal transport (2023) — 889 citations
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics (2020) — 287 citations
- POT: Python Optimal Transport (2021) — 1,118 citations