Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. - Martin V. Butz; Mihael Simonic; Marcel Binz; Jonas Einig; Stephan Ehrenfeld; Fabian Schrodt (CogSci, 2016)

Where Do Heuristics Come From? - Marcel Binz; Dominik Endres (CogSci, 2019)

Emulating Human Developmental Stages with Bayesian Neural Networks. - Marcel Binz; Dominik Endres (CogSci, 2019)

Where Do Human Heuristics Come From? - Marcel Binz; Dominik Endres (CoRR, 2019)

Principles of Human Learning. - Marcel Binz (2021)

Decision-Making with Naturalistic Options. - Can Demircan; Leonardo Pettini; Tankred Saanum; Marcel Binz; Blazej M. Baczkowski; Christian F. Doeller; Mona M. Garvert; Eric Schulz (CogSci, 2022)

Modeling Human Exploration Through Resource-Rational Reinforcement Learning. - Marcel Binz; Eric Schulz (NeurIPS, 2022)

Exploration With a Finite Brain. - Marcel Binz; Eric Schulz (CoRR, 2022)

Using cognitive psychology to understand GPT-3. - Marcel Binz; Eric Schulz (CoRR, 2022)

Stochastic Gradient Descent Captures How Children Learn About Physics. - Luca M. Schulze Buschoff; Eric Schulz; Marcel Binz (CoRR, 2022)

The Acquisition of Physical Knowledge in Generative Neural Networks. - Luca M. Schulze Buschoff; Eric Schulz; Marcel Binz (ICML, 2023)

Meta-in-context learning in large language models. - Julian Coda-Forno; Marcel Binz; Zeynep Akata; Matt M. Botvinick; Jane X. Wang; Eric Schulz (NeurIPS, 2023)

Reinforcement Learning with Simple Sequence Priors. - Tankred Saanum; Noémi Élteto; Peter Dayan; Marcel Binz; Eric Schulz (NeurIPS, 2023)

Meta-Learned Models of Cognition. - Marcel Binz; Ishita Dasgupta 001; Akshay K. Jagadish; Matthew M. Botvinick; Jane X. Wang; Eric Schulz (CoRR, 2023)

Inducing anxiety in large language models increases exploration and bias. - Julian Coda-Forno; Kristin Witte; Akshay K. Jagadish; Marcel Binz; Zeynep Akata; Eric Schulz (CoRR, 2023)

Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks. - Can Demircan; Tankred Saanum; Leonardo Pettini; Marcel Binz; Blazej M. Baczkowski; Paula Kaanders; Christian F. Doeller; Mona M. Garvert; Eric Schulz (CoRR, 2023)

How should the advent of large language models affect the practice of science? - Marcel Binz; Stephan Alaniz; Adina Roskies; Balazs Aczel; Carl T. Bergstrom; Colin Allen; Daniel Schad; Dirk U. Wulff; Jevin D. West; Qiong Zhang; Richard M. Shiffrin; Samuel J. Gershman; et al. (CoRR, 2023)

Turning large language models into cognitive models. - Marcel Binz; Eric Schulz (ICLR, 2024)

CogBench: a large language model walks into a psychology lab. - Julian Coda-Forno; Marcel Binz; Jane X. Wang; Eric Schulz (ICML, 2024)

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. - Akshay K. Jagadish; Julian Coda-Forno; Mirko Thalmann; Eric Schulz; Marcel Binz (ICML, 2024)

In-Context Learning Agents Are Asymmetric Belief Updaters. - Johannes A. Schubert; Akshay K. Jagadish; Marcel Binz; Eric Schulz (ICML, 2024)

Evaluating alignment between humans and neural network representations in image-based learning tasks. - Can Demircan; Tankred Saanum; Leonardo Pettini; Marcel Binz; Blazej M. Baczkowski; Christian F. Doeller; Mona M. Garvert; Eric Schulz (NeurIPS, 2024)

Ecologically rational meta-learned inference explains human category learning. - Akshay K. Jagadish; Julian Coda-Forno; Mirko Thalmann; Eric Schulz; Marcel Binz (CoRR, 2024)

Centaur: a foundation model of human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (CoRR, 2024)

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. - Can Demircan; Tankred Saanum; Akshay Kumar Jagadish; Marcel Binz; Eric Schulz (ICLR, 2025)

Automated scientific minimization of regret. - Marcel Binz; Akshay K. Jagadish; Milena Rmus; Eric Schulz (CoRR, 2025)

A foundation model to predict and capture human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (Nat., 2025)