Simon Washington
Artificial Intelligence · 2003–2019
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Generative Models — 14 citations into it
- Statistics and Probability — 12 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Signal Processing — 6 citations into it
- Information Theory — 5 citations into it
Whom Simon Washington trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Diederik P. Kingma
- Geoffrey E. Hinton
- Tim Salimans
- Yoshua Bengio
- Roderick J. A. Little
- Radford M. Neal
- J. Duda
- Chris S. Wallace
- Danilo Jimenez Rezende
Who trusts Simon Washington overall
Papers from Simon Washington's perspective
Ordered by how strongly the researchers Simon Washington trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Panel Data Analysis (2003) — 266 citations
- Latent Variable Models (2019)
- Statistical and econometric methods for transportation data analysis (2003) — 110 citations