Bryan Low

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Bryan Low trusts overall

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

1. Radford M. Neal
2. Sebastian Schelter
3. Yinzhi Cao
4. David M. Blei
5. James Hensman
6. Antonio A. Ginart

Who trusts Bryan Low overall

1. Ayush Kumar Tarun
2. Takashi Shibata
3. Aditya Golatkar

Papers from Bryan Low's perspective

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

1. Pattern Recognition and Machine Learning
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Variational Inference with Normalizing Flows
5. Improved Variational Inference with Inverse Autoregressive Flow
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Variational Bayesian Unlearning (2020) — 191 citations