Cameron Smith

Artificial Intelligence · 2014–2015

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

Subfields

• Artificial Intelligence — 5 citations into it

Whom Cameron Smith trusts overall

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

1. David Barber
2. Martin J. Wainwright
3. Andreas Wagner
4. Michael I. Jordan
5. Bernhard O. Palsson
6. Ross Cressman
7. Michael Joswig
8. Uri Alon
9. Martin Golubitsky
10. M. Siegal

Papers from Cameron Smith's perspective

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

1. Graphical Models, Exponential Families, and Variational Inference
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Bayesian reasoning and machine learning
5. Learning Multiple Layers of Features from Tiny Images
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Waddington's canalization revisited: Developmental stability and evolution (Proceedings of the National Academy of Sciences of the United States of America)
8. Long Short-Term Memory
9. Robustness and Evolvability in Living Systems
10. ImageNet: A large-scale hierarchical image database

Their papers

• Potential unsatisfiability of cyclic constraints on stochastic biological networks biases selection towards hierarchical architectures (2015) — 3 citations
• Hierarchical Network Structure Promotes Dynamical Robustness (2014) — 5 citations