Binz, Marcel

10 publications

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

ICML 2024 CogBench: A Large Language Model Walks into a Psychology Lab Julian Coda-Forno, Marcel Binz, Jane X Wang, Eric Schulz

NeurIPS 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

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

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

ICLR 2024 Turning Large Language Models into Cognitive Models Marcel Binz, Eric Schulz

NeurIPS 2023 Meta-in-Context Learning in Large Language Models Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz

NeurIPS 2023 Reinforcement Learning with Simple Sequence Priors Tankred Saanum, Noémi Éltető, Peter Dayan, Marcel Binz, Eric Schulz

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

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