Marcel Binz

According to our database, Marcel Binz authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CogBench: a large language model walks into a psychology lab.

Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz

CoRR, 2024

In-context learning agents are asymmetric belief updaters.

Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz

CoRR, 2024

Ecologically rational meta-learned inference explains human category learning.

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

CoRR, 2024

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 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

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

Turning large language models into cognitive models.

Marcel Binz, 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

Meta-Learned Models of Cognition.

Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz

CoRR, 2023

Reinforcement Learning with Simple Sequence Priors.

Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-in-context learning in large language models.

Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Acquisition of Physical Knowledge in Generative Neural Networks.

Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz

Proceedings of the International Conference on Machine Learning, 2023

2022

Stochastic Gradient Descent Captures How Children Learn About Physics.

Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz

CoRR, 2022

Using cognitive psychology to understand GPT-3.

Marcel Binz, Eric Schulz

CoRR, 2022

Exploration With a Finite Brain.

Marcel Binz, Eric Schulz

CoRR, 2022

Modeling Human Exploration Through Resource-Rational Reinforcement Learning.

Marcel Binz, Eric Schulz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Principles of Human Learning.

Marcel Binz

PhD thesis, 2021

2019

Where Do Human Heuristics Come From?

Marcel Binz, Dominik Endres

CoRR, 2019

Emulating Human Developmental Stages with Bayesian Neural Networks.

Marcel Binz, Dominik Endres

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Where Do Heuristics Come From?

Marcel Binz, Dominik Endres

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2016

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

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016