Andreas Stuhlmüller
Publications by Year
Research Areas
Bayesian Modeling and Causal Inference, Topic Modeling, Natural Language Processing Techniques, Language and cultural evolution, Child and Animal Learning Development
Most-Cited Works
- → Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models(2022)548 cited
- → Knowledge and Implicature: Modeling Language Understanding as Social Cognition(2013)400 cited
- Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation(2011)
- Learning Stochastic Inverses(2013)
- → Trial without Error: Towards Safe Reinforcement Learning via Human Intervention(2018)66 cited
- → Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs(2013)48 cited
- Why do you ask? Good questions provoke informative answers.(2015)
- → Learning physical parameters from dynamic scenes(2018)35 cited
- → A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs(2012)23 cited
- → Agent-Agnostic Human-in-the-Loop Reinforcement Learning(2017)22 cited