Michael Braun

Probabilistic & Bayesian Methods · with McAuliffe · 2007

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Michael Braun trusts overall

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

1. Michael I. Jordan
2. Kenneth Train
3. Matthew J. Beal
4. Martin J. Wainwright
5. David M. Blei
6. Andrew Gelman
7. Peter E. Rossi
8. Peter M. Guadagni
9. Greg M. Allenby
10. Donald B. Rubin

Who trusts Michael Braun overall

1. David M. Blei
2. Mohammad Emtiyaz Khan
3. Matthew D. Hoffman
4. Samuel J. Gershman
5. Matt P. Wand
6. Rajesh Ranganath
7. Anna Goldenberg
8. Jeffrey C. Regier
9. Jon D. McAuliffe
10. Alp Kucukelbir

Papers from Michael Braun's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Variational Inference for Large-Scale Models of Discrete Choice (2007) — 193 citations