| Using cognitive psychology to understand GPT-3 M Binz, E Schulz Proceedings of the National Academy of Sciences, 2023 | 181 | 2023 |
| Heuristics From Bounded Meta-Learned Inference M Binz, SJ Gershman, E Schulz, D Endres Psychological Review, 2022 | 25 | 2022 |
| Inducing anxiety in large language models increases exploration and bias J Coda-Forno, K Witte, AK Jagadish, M Binz, Z Akata, E Schulz arXiv preprint arXiv:2304.11111, 2023 | 18 | 2023 |
| Exploration beyond bandits F Brändle, M Binz, E Schulz The Drive for Knowledge: The Science of Human Information Seeking, 147-168, 2022 | 11 | 2022 |
| Modeling human exploration through resource-rational reinforcement learning M Binz, E Schulz Advances in Neural Information Processing Systems 35, 31755-31768, 2022 | 9 | 2022 |
| Turning large language models into cognitive models M Binz, E Schulz arXiv preprint arXiv:2306.03917, 2023 | 7 | 2023 |
| Where Do Heuristics Come From? M Binz, D Endres Proceedings of the 41th Annual Meeting of the Cognitive Science Society …, 2019 | 7 | 2019 |
| Meta-learned models of cognition M Binz, I Dasgupta, A Jagadish, M Botvinick, JX Wang, E Schulz arXiv preprint arXiv:2304.06729, 2023 | 6 | 2023 |
| Emulating Human Developmental Stages with Bayesian Neural Networks M Binz, D Endres arXiv preprint arXiv:1902.07579, 2019 | 4 | 2019 |
| Reconstructing the Einstellung effect M Binz, E Schulz Computational Brain & Behavior 6 (3), 526-542, 2023 | 3 | 2023 |
| Meta-in-context learning in large language models J Coda-Forno, M Binz, Z Akata, M Botvinick, JX Wang, E Schulz arXiv preprint arXiv:2305.12907, 2023 | 2 | 2023 |
| On the applicability of recurrent neural networks for pattern recognition in electroencephalography signals M Binz, S Otte, A Zell Workshop New Challenges in Neural Computation 2015, 85, 2015 | 2 | 2015 |
| Decision-making with naturalistic options C Demircan, L Pettini, T Saanum, M Binz, BM Baczkowski, C Doeller, ... Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 1 | 2022 |
| Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. MV Butz, M Simonic, M Binz, J Einig, S Ehrenfeld, F Schrodt Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016 | 1 | 2016 |
| A Rational Analysis of the Optimism Bias using Meta-Reinforcement Learning JA Schubert, AK Jagadish, M Binz, E Schulz Conference on Cognitive Computational Neuroscience (CCN 2023), 2023 | | 2023 |
| Zero-shot compositional reinforcement learning in humans AK Jagadish, M Binz, T Saanum, JX Wang, E Schulz PsyArXiv, 2023 | | 2023 |
| Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks C Demircan, T Saanum, L Pettini, M Binz, BM Baczkowski, P Kaanders, ... arXiv preprint arXiv:2306.09377, 2023 | | 2023 |
| The Acquisition of Physical Knowledge in Generative Neural Networks LMS Buschoff, E Schulz, M Binz International Conference on Machine Learning, 2023 | | 2023 |
| Reinforcement Learning with Simple Sequence Priors T Saanum, N Éltető, P Dayan, M Binz, E Schulz arXiv preprint arXiv:2305.17109, 2023 | | 2023 |
| Stochastic Gradient Descent Captures How Children Learn About Physics LMS Buschoff, E Schulz, M Binz arXiv preprint arXiv:2209.12344, 2022 | | 2022 |
Eric SchulzMax Planck Institute for Biological CyberneticsVerified email at tue.mpg.de
