Charles L. Brooks III

Probabilistic & Bayesian Methods · with Ding · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 7 citations into it

Whom Charles L. Brooks III trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Arthur P. Dempster

Who trusts Charles L. Brooks III overall

1. Alexey Strokach

Papers from Charles L. Brooks III's perspective

Ordered by how strongly the researchers Charles L. Brooks III trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. AUTO-ENCODING VARIATIONAL BAYES
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Stochastic variational inference

Their papers

• Deciphering protein evolution and fitness landscapes with latent space models (2019) — 108 citations