Dave Moore

Artificial Intelligence · 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

• Artificial Intelligence — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Dave Moore trusts overall

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

1. Bob Carpenter
2. Joshua V. Dillon
3. Andrew Gelman
4. David Wingate
5. Gordon D. Plotkin
6. Dustin Tran
7. Matthew D. Hoffman
8. Ian Langmore

Who trusts Dave Moore overall

1. Du Phan

Papers from Dave Moore's perspective

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

1. Automatic Differentiation Variational Inference
2. Stan: A Probabilistic Programming Language
3. Automated Variational Inference in Probabilistic Programming
4. TensorFlow Distributions
5. Attention is All you Need (Neural Information Processing Systems)
6. GENERATIVE ADVERSARIAL NETS
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Their papers

• Effect Handling for Composable Program Transformations in Edward2 (2018) — 16 citations