David Wingate

Out of One, Many: Using Language Models to Simulate Human Samples

Lisa P. Argyle, Ethan C. Busby, Nancy Fulda et al. · Political Analysis · 2023 · 473 citations · Full text

Engineering, Psycholinguistics, Artificial Intelligence Tools +21

Machine-learned multi-system surrogate models for materials prediction

Chandramouli Nyshadham, Matthias Rupp, Brayden Bekker et al. · npj Computational Materials · 2019 · 159 citations · Full text

A Bayesian Sampling Approach to Exploration in Reinforcement Learning

John Asmuth, Lihong Li, Michael L. Littman et al. · arXiv (Cornell University) · 2012 · 153 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +14

Learning nonlinear dynamic models of soft robots for model predictive control with neural networks

Morgan T. Gillespie, Charles M. Best, Eric C. Townsend et al. · 2018 · 146 citations

Robot Kinematics, Robotic Systems, Engineering +20

Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation

David Wingate, Andreas Stuhlmüller, Noah D. Goodman · International Conference on Artificial Intelligence and Statistics · 2011 · 135 citations

Engineering, Compiler Technology, Software Systems +19