Logan Graham

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 109 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Management Science and Operations Research — 11 citations into it
• Causal Inference & Discovery — 9 citations into it
• Statistics and Probability — 8 citations into it
• Sociology and Political Science — 7 citations into it

Whom Logan Graham trusts overall

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

1. Yura N. Perov
2. Thomas S. Richardson
3. Quaid D. Morris
4. Mingxiang Li
5. Frank D. Wood
6. Tuan Anh Le
7. Vikash K. Mansinghka
8. Peter F. Schulam
9. Michael Oberst
10. Shixiang Shane Gu

Papers from Logan Graham's perspective

Ordered by how strongly the researchers Logan Graham 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Causality : Models , Reasoning , and Inference
8. Attention is All you Need (Neural Information Processing Systems)
9. Intriguing properties of neural networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (2020) — 480 citations
• MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming (2019) — 19 citations