Matt Hoffman

Probabilistic & Bayesian Methods · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 6 citations into it

Whom Matt Hoffman trusts overall

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

1. Hagai Thomas Attias
2. Peter J. Green
3. Andrew Y. Ng
4. Peter S. Dayan
5. Marc Toussaint
6. Geoffrey E. Hinton
7. Matthew D. Hoffman
8. Michael I. Jordan
9. J. Bernardo
10. Amos J. Storkey

Who trusts Matt Hoffman overall

1. Yutian Chen
2. Ziyun Wang
3. Marc Toussaint
4. Matthew W. Hoffman
5. Bobak Shahriari
6. Nando de Freitas
7. Amos J. Storkey
8. Sergio Gomez Colmenarejo
9. Babak Shakibi

Papers from Matt Hoffman's perspective

Ordered by how strongly the researchers Matt Hoffman 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• New inference strategies for solving Markov Decision Processes using reversible jump MCMC (2009) — 36 citations