Publications of M Binz

Schubert, J.; Jagadish, A.; Binz, M.; Schulz, E.: A Rational Analysis of the Optimism Bias using Meta-Reinforcement Learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.37, pp. 557 - 559. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Schulze Buschoff, L.; Schulz, E.; Binz, M.: The Acquisition of Physical Knowledge in Generative Neural Networks. In: 40th International Conference on Machine Learning, pp. 30321 - 30341 (Eds. Krause, A.; Brunskill, E.; Cho, K.; Engelhardt, B.; Sabato, S. et al.). Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, HI,USA, July 23, 2023 - July 29, 2023. (2023)

Binz, M.; Schulz, E.: 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), pp. 31755 - 31768 (Eds. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. Curran, Red Hook, NY, USA (2023)

Demircan, C.; Pettini, L.; Saanum, T.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 976 - 982 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)

Jagadish, A.; Saanum, T.; Wang, J.; Binz, M.; Schulz, E.: Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, pp. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)

Binz, M.; Endres, D.: Where Do Heuristics Come From? In: 41th Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, pp. 1402 - 1408 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41th Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, Montreal, Canada, July 24, 2019 - July 27, 2019. (2019)

Binz, M.; Otte, S.; Zell, A.: On the Applicability of Recurrent Neural Networks for Pattern Recognition in Electroencephalography Signals. In: Workshop New Challenges in Neural Computation 2015, pp. 85 - 92 (Eds. Hammer, B.; Martinetz, T.; Villmann, T.). Workshop New Challenges in Neural Computation 2015, Aachen, Germany. (2015)

Binz, M.; Collins, K.; Ying, L.; Tenenbaum, J.; Schulz, E.: Laying the foundations for foundation models of cognition. In Proceedings of the Annual Meeting of the Cognitive Science Society, 48, pp. 10 - 11 (Eds. Boleda, G.; Dautriche, I.; Maldonado, M.; Saldana, C.; Torrent, T.). 48th Annual Meeting of the Cognitive Science Society (CogSci 2026), Rio de Janeiro, Brazil, July 22, 2026 - August 25, 2026. (2026)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Binz, M.; Schulz, E.: Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning. In Proceedings of the 47th Annual Conference of the Cognitive Science Society, p. 6673 (Eds. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future, San Francisco, CA, USA, July 30, 2025 - August 02, 2025. (2025)

Binz, M.; Schulz, E.: Using cognitive psychology to understand GPT-3. In 29th Biennial Subjective Probability Utility and Decision Making Conference (SPUDM 2023), p. 31. 29th Biennial Subjective Probability Utility and Decision Making Conference (SPUDM 2023), Wien, Austria, August 20, 2023 - August 24, 2023. (2023)

Binz, M.; Endres, D.: Emulating Human Developmental Stages with Bayesian Neural Networks. In 41th Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, p. 3245 (Eds. Goel, A.; Seifert, C.; Freksa, C.). 41th Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, Montreal, Canada, July 24, 2019 - July 27, 2019. (2019)

Butz, M.; Simonic, M.; Binz, M.; Einig, J.; Ehrenfeld, S.; Schrodt, F.: Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting,Learning and Conversing Game Agents. In 38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events, p. 3062 (Eds. Papafragou, A.; Grodner, D.; Mirman, D.; Trueswell, J.). 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA, USA, August 10, 2016 - August 13, 2016. Curran, Red Hook, NY, USA (2017)

Binz, M.: KI als Forschungs-Partner. EinBlick: Forschung verständlich, Tübingen, Germany (2026)

Binz, M.: Building foundation models of human cognition. Practice Job Talk, Tübingen, Germany (2023)

Tutorial 2: Meta-Learned Models of Cognition. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany (2022)

Binz, M.: The Art and Science of Modeling Human Decision-Making (Tutorial). International Interdisciplinary Computational Cognitive Science Summer School (IICCSSS 2022), Tübingen, Germany (2022)

Truong, V.; Binz, M.; Bartels, A.: 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)

Binz, M.: Principles of Human Learning. Dissertation, 183 pp., Philipps-Universität Marburg, Marburg, Germany (2021)

Binz, M.: Learning Goal-Directed Behaviour. Master, 57 pp., School of Computer Science and Communication, Stockholm, Sweden (2017)

Demircan, C.; Binz, M.; Modirshanechi, A.; Schulz, E.: Meta-learning as a principle for human-like visual representations. (submitted)