Marcel Binz

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Reinforcement Learning

Visual Representation

Cognitive Models

Top Venues

Publications

Marcel Binz, Eric Schulz
Turning large language models into cognitive models. ICLR (2024)
Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz
In-context learning agents are asymmetric belief updaters. CoRR (2024)
Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz
Ecologically rational meta-learned inference explains human category learning. CoRR (2024)
Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz
CogBench: a large language model walks into a psychology lab. CoRR (2024)
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz
Meta-in-context learning in large language models. NeurIPS (2023)
Marcel Binz, Eric Schulz
Turning large language models into cognitive models. CoRR (2023)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
The Acquisition of Physical Knowledge in Generative Neural Networks. ICML (2023)
Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz
Inducing anxiety in large language models increases exploration and bias. CoRR (2023)
Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M. Baczkowski, Paula Kaanders, Christian F. Doeller, Mona M. Garvert, Eric Schulz
Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks. CoRR (2023)
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
Meta-in-context learning in large language models. CoRR (2023)
Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
How should the advent of large language models affect the practice of science? CoRR (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. NeurIPS (2023)
Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
Meta-Learned Models of Cognition. CoRR (2023)
Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz
Reinforcement Learning with Simple Sequence Priors. CoRR (2023)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
The Acquisition of Physical Knowledge in Generative Neural Networks. CoRR (2023)
Can Demircan, Leonardo Pettini, Tankred Saanum, Marcel Binz, Blazej M. Baczkowski, Christian F. Doeller, Mona M. Garvert, Eric Schulz
Decision-Making with Naturalistic Options. CogSci (2022)
Marcel Binz, Eric Schulz
Modeling Human Exploration Through Resource-Rational Reinforcement Learning. NeurIPS (2022)
Marcel Binz, Eric Schulz
Using cognitive psychology to understand GPT-3. CoRR (2022)
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
Stochastic Gradient Descent Captures How Children Learn About Physics. CoRR (2022)
Marcel Binz, Eric Schulz
Exploration With a Finite Brain. CoRR (2022)
Marcel Binz, Dominik Endres
Emulating Human Developmental Stages with Bayesian Neural Networks. CoRR (2019)
Marcel Binz, Dominik Endres
Where Do Human Heuristics Come From? CoRR (2019)
Marcel Binz, Dominik Endres
Where Do Heuristics Come From? CogSci (2019)
Marcel Binz, Dominik Endres
Emulating Human Developmental Stages with Bayesian Neural Networks. CogSci (2019)
Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt
Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. CogSci (2016)