Salimans

Probabilistic & Bayesian Methods · 2014

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Salimans trusts overall

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

1. Radford M. Neal
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Tim Salimans
5. Andriy Mnih
6. Danilo Jimenez Rezende
7. Max Welling
8. Rajesh Ranganath
9. David M. Blei
10. John William Paisley

Papers from Salimans's perspective

Ordered by how strongly the researchers Salimans 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Markov Chain Monte Carlo and Variational Inference: Bridging the Gap (2014)