Christopher Suter

Probabilistic & Bayesian Methods · 2018

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

Subfields

• Probabilistic & Bayesian Methods — 20 citations into it

Whom Christopher Suter trusts

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

1. Matthew D. Hoffman (in Probabilistic & Bayesian Methods)

Papers from Christopher Suter's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Turing Machines

Their papers

• Simple, Distributed, and Accelerated Probabilistic Programming (2018) — 61 citations