12 citations · 14 across the 5 of their papers we have counts for
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cs.AI2023
Bayesian Program Learning by Decompiling Amortized Knowledge
Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
DreamCoder is an inductive program synthesis system that, whilst solving problems, learns to simplify search in an iterative wake-sleep procedure. The cost of search is amortized b…
cs.LG2023★ 1 cited
Designing Optimal Behavioral Experiments Using Machine Learning
Simon Valentin, Steven Kleinegesse, Neil R. Bramley +3
Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely, and offer predictions that can be su…