David Wingate
Brigham Young University(US)
Publications by Year
Research Areas
Bayesian Modeling and Causal Inference, Reinforcement Learning in Robotics, Topic Modeling, Machine Learning and Algorithms, Gaussian Processes and Bayesian Inference
Most-Cited Works
- → Out of One, Many: Using Language Models to Simulate Human Samples(2023)498 cited
- → Machine-learned multi-system surrogate models for materials prediction(2019)162 cited
- → A Bayesian Sampling Approach to Exploration in Reinforcement Learning(2012)153 cited
- → Learning nonlinear dynamic models of soft robots for model predictive control with neural networks(2018)148 cited
- Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation(2011)
- → Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale(2023)116 cited
- → Prioritization Methods for Accelerating MDP Solvers(2005)88 cited
- → Automated Variational Inference in Probabilistic Programming(2013)72 cited
- → Model-Based Control of Soft Actuators Using Learned Non-linear Discrete-Time Models(2019)67 cited
- → What Can You Do with a Rock? Affordance Extraction via Word Embeddings(2017)60 cited