Sotabase

Career

· Doctor of Philosophy (Ph.D.) in Cognitive Science, Massachusetts Institute of Technology (MIT)2009–2015
· Bachelor of Science (B.Sc.) in Cognitive Science, University of Osnabrück2006–2009
· Cofounder & CEO, Elicit
· Google
· Founder, Ought
· Ought
· Postdoctoral Researcher, Stanford University

Publications (47)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Knowledge and implicature: Modeling language understanding as social cognition
Annual Meeting of the Cognitive Science Society · 2012
407
cited
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
International Conference on Artificial Intelligence and Statistics · 2011
195
cited
Learning the Preferences of Ignorant, Inconsistent Agents
AAAI Conference on Artificial Intelligence · 2015
132
cited
Evaluating Compositionality in Sentence Embeddings
Annual Meeting of the Cognitive Science Society · 2018
126
cited
Learning Stochastic Inverses
Neural Information Processing Systems · 2013
116
cited
Learning physical parameters from dynamic scenes
Cognitive Psychology · 2018
59
cited
Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs
Cognitive Systems Research · 2014
59
cited
Why do you ask? Good questions provoke informative answers
Annual Meeting of the Cognitive Science Society · 2015
42
cited
A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs
StarAI@UAI · 2012
40
cited
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
Neural Information Processing Systems · 2011
36
cited
Inducing Probabilistic Programs by Bayesian Program Merging
arXiv.org · 2011
34
cited
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching
International Conference on Artificial Intelligence and Statistics · 2015
31
cited
Learning physics from dynamical scenes
2014
31
cited
Learning Structured Generative Concepts
2010
28
cited
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
arXiv.org · 2024
14
cited
Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs
arXiv.org · 2015
10
cited
FHI Oxford Technical Report # 2018-2 Predicting Human Deliberative Judgments with Machine Learning
2018
9
cited
Why blame Bob ? Probabilistic generative models , counterfactual reasoning , and blame attribution
2012
4
cited
Learning physical theories from dynamical scenes
Annual Meeting of the Cognitive Science Society · 2014
1
cited
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Andreas Stuhlmüller | Researcher Profile | Sotabase | Sotabase