Christopher G. Lucas

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #32,781 of 35,345 by trust here, #25,040 by citations
• Developmental and Educational Psychology — 12 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Cultural Studies — 5 citations into it

Whom Christopher G. Lucas trusts overall

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

1. Alison Gopnik
2. James O. Berger
3. Josh Tenenbaum
4. Henry Wellman
5. T. Griffiths
6. Radford M. Neal
7. Tommi S. Jaakkola
8. Andrew Gordon Wilson

Who trusts Christopher G. Lucas overall

1. Alan Jern
2. Julian Jara-Ettinger
3. Andreas Holzinger
4. Neil C. Rabinowitz
5. Charles Kemp

Papers from Christopher G. Lucas's perspective

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

1. Pattern Recognition and Machine Learning
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Bayesian learning for neural networks
8. A theory of causal learning in children: causal maps and Bayes nets.
9. Information Theory, Inference, and Learning Algorithms
10. Ockham's Razor and Bayesian Analysis

Their papers

• The Child as Econometrician: A Rational Model of Preference Understanding in Children (2014) — 101 citations
• The Human Kernel (2015) — 69 citations
• When Younger Learners Can Be Better (or at Least More Open-Minded) Than Older Ones (2015) — 165 citations