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ORCIDMarcel Binz
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2020 – today
- 2024
[c12]Marcel Binz, Eric Schulz:
Turning large language models into cognitive models. ICLR 2024- [c11]Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz:
CogBench: a large language model walks into a psychology lab. ICML 2024 - [c10]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. ICML 2024 - [c9]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-Context Learning Agents Are Asymmetric Belief Updaters. ICML 2024 - [i17]Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz:
Ecologically rational meta-learned inference explains human category learning. CoRR abs/2402.01821 (2024) - [i16]Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
In-context learning agents are asymmetric belief updaters. CoRR abs/2402.03969 (2024) - [i15]Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz:
CogBench: a large language model walks into a psychology lab. CoRR abs/2402.18225 (2024) - [i14]Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. CoRR abs/2410.01280 (2024) - 2023
- [c8]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
The Acquisition of Physical Knowledge in Generative Neural Networks. ICML 2023: 30321-30341 - [c7]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 - [c6]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. NeurIPS 2023 - [i13]Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-Learned Models of Cognition. CoRR abs/2304.06729 (2023) - [i12]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 abs/2304.11111 (2023) - [i11]Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-in-context learning in large language models. CoRR abs/2305.12907 (2023) - [i10]Tankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz:
Reinforcement Learning with Simple Sequence Priors. CoRR abs/2305.17109 (2023) - [i9]Marcel Binz, Eric Schulz:
Turning large language models into cognitive models. CoRR abs/2306.03917 (2023) - [i8]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 abs/2306.09377 (2023) - [i7]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
The Acquisition of Physical Knowledge in Generative Neural Networks. CoRR abs/2310.19943 (2023) - [i6]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 abs/2312.03759 (2023) - 2022
- [c5]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 - [c4]Marcel Binz, Eric Schulz:
Modeling Human Exploration Through Resource-Rational Reinforcement Learning. NeurIPS 2022 - [i5]Marcel Binz, Eric Schulz:
Exploration With a Finite Brain. CoRR abs/2201.11817 (2022) - [i4]Marcel Binz, Eric Schulz:
Using cognitive psychology to understand GPT-3. CoRR abs/2206.14576 (2022) - [i3]Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz:
Stochastic Gradient Descent Captures How Children Learn About Physics. CoRR abs/2209.12344 (2022) - 2021
- [b1]Marcel Binz:
Principles of Human Learning. University of Marburg, Germany, 2021
2010 – 2019
- 2019
- [c3]Marcel Binz, Dominik Endres:
Where Do Heuristics Come From? CogSci 2019: 1402-1408 - [c2]Marcel Binz, Dominik Endres:
Emulating Human Developmental Stages with Bayesian Neural Networks. CogSci 2019: 3245 - [i2]Marcel Binz, Dominik Endres:
Emulating Human Developmental Stages with Bayesian Neural Networks. CoRR abs/1902.07579 (2019) - [i1]Marcel Binz, Dominik Endres:
Where Do Human Heuristics Come From? CoRR abs/1902.07580 (2019) - 2016
- [c1]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
Coauthor Index
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