Publikationen von M Binz
Alle Typen
Zeitschriftenartikel (4)
Zeitschriftenartikel
Epub ahead (2023)
Meta-Learned Models of Cognition. Behavioral and Brain Sciences
Zeitschriftenartikel
6 (3), S. 526 - 542 (2023)
Reconstructing the Einstellung effect. Computational Brain & Behavior
Zeitschriftenartikel
120 (6), e2218523120 (2023)
Using cognitive psychology to understand GPT-3. Proceedings of the National Academy of Sciences of the United States of America
Zeitschriftenartikel
129 (5), S. 1042 - 1077 (2022)
Heuristics From Bounded Meta-Learned Inference. Psychological Review Buchkapitel (1)
Buchkapitel
Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)
Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking, S. 147 - 168 (Hg. Cogliati Dezza, I.; Konferenzbeitrag (7)
Konferenzbeitrag
Meta-in-context learning in large language models. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. (2023)
Konferenzbeitrag
Reinforcement Learning with Simple Sequence Priors. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. (2023)
Konferenzbeitrag
A Rational Analysis of the Optimism Bias using Meta-Reinforcement Learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.37, S. 557 - 559. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)
Konferenzbeitrag
The Acquisition of Physical Knowledge in Generative Neural Networks. In: 40th International Conference on Machine Learning, S. 30321 - 30341 (Hg. Krause, A.; Brunskill, E.; Cho, K.; Engelhardt, B.; Sabato, S. et al.). Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, HI,USA, 23. Juli 2023 - 29. Juli 2023. (2023)
Konferenzbeitrag
Modeling Human Exploration Through Resource-Rational Reinforcement Learning. In: Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), S. 31755 - 31768 (Hg. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28. November 2022 - 09. Dezember 2022. Curran, Red Hook, NY, USA (2023)
Konferenzbeitrag
Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 976 - 982 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)
Konferenzbeitrag
Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, S. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)
Meeting Abstract (1)
Meeting Abstract
Using cognitive psychology to understand GPT-3. In Subjective Probability, Utility & Decision Making (SPUDM 2023), S. 31. Subjective Probability, Utility & Decision Making (SPUDM 2023), Wien, Austria, 20. August 2023 - 24. August 2023. (2023)
Vortrag (2)
Vortrag
Building foundation models of human cognition. Practice Job Talk, Tübingen, Germany (2023)
Vortrag
Tutorial 2: Meta-Learned Models of Cognition. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany (2022)
Poster (1)
Poster
Fear and anxiety influences on probabilistic learning: A pilot online study and computational modeling. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)
Preprint (11)
Preprint
CogBench: a large language model walks into a psychology lab. (eingereicht)
Preprint
Ecologically rational meta-learned inference explains human category learning. (eingereicht)
Preprint
In-context learning agents are asymmetric belief updaters. (eingereicht)
Preprint
How should the advent of large language models affect the practice of science? (eingereicht)