Marcel Binz

Marcel Binz
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About Me

I am a research scientist and deputy head of the Institute for Human-Centered AI at Helmholtz Munich.
My research employs computational models to uncover the fundamental principles behind human cognition. I believe that for a more complete understanding of human cognition, we must consider the human mind as a whole. My current research goal is therefore to establish foundation models of human cognition – models that cannot only simulate, predict, and explain human behavior in a single domain but those that offer a unified take on our mind. To accomplish this, I use tools such as neural networks, Bayesian inference, meta-learning, information theory, and large language models.


July 2024: May 2024: March 2024: February 2024: January 2024: December 2023: November 2023:

Key Publications

Binz, M., & Schulz, E. (2024). Turning large language models into cognitive models. International Conference on Learning Representations (ICLR).
Binz, M., Dasgupta, I., Jagadish, A., Botvinick, M., Wang, J.X., & Schulz, E. (in press). Meta-Learned Models of Cognition. Behavioral and Brain Sciences.
Binz, M., & Schulz, E. (2023). Using cognitive psychology to understand GPT-3. Proceedings of the National Academy of Sciences.
Binz, M., & Schulz, E. (2022). Modeling Human Exploration Through Resource-Rational Reinforcement Learning. 36th Conference on Neural Information Processing Systems (NeurIPS). Selected as Oral.
Binz, M., Gershman, S.J., Schulz, E., & Endres, D. (2022). Heuristics From Bounded Meta-Learned Inference. Psychological Review.