Publikationen von E Schulz

Schulz, E.: Towards a computational understanding of how children learn. Max-Planck-Iinstitut für Kognitions- und Neurowissenschaften, Leipzig, Germany (2022)

Brändle, F.; Allen, K.; Tenenbaum, J.; Schulz, E.: Using Games to Understand Intelligence. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021): Workshop 2 Using Games to Understand Intelligence, Wien, Austria (2021)

Schulz, E.: Using structure to explore efficiently. International Interdisciplinary Computational Cognitive Science Summer School (IICCSSS 2021) (2021)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. Computational Principles of Intelligence Lab, Tübingen, Germany (2021)

Schulz, E.: Using structure to explore efficiently. CCN Meeting: Center for Cognitive Neuroscience, Ghent University, Gent, Belgium (2021)

Schulz, E.: Exploration beyond bandits. Max-Planck-Institut für empirische Ästhetik, Frankfurt a.M., Germany (2021)

Schulz, E.: Exploration beyond bandits. Technische Universität Darmstadt: CCS Colloquium, Darmstadt, Germany (2021)

Schulz, E.: Using structure to explore efficiently. Ghent University: Center for Cognitive Neuroscience, Gent, Belgium (2021)

Schulz, E.: Exploration beyond bandits. Kognitionswissenschaftliches Kolloquium: Mathematisch- Naturwissenschaftliche Fakultät, Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2020)

Schulz, E.: Beyond uncertainty and information bonuses: Exploration as fun and empowerment. Workshop 5: From Ambiguity Aversion to Information Gain: Can Entropy Reduction Serve as a Unified Construct in Models of Adaptive Behavior and Decision Making? 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada (2020)

Schulz, E.: Using Structure to Explore Efficiently. 27th Annual Meeting of the Cognitive Neuroscience Society (CNS 2020), Boston, MA, USA (2020)

Schulz, E.: Using structure to explore efficiently. Max-Planck-Institut für Kognitions- und Neurowissenschaften, Leipzig, Germany (2019)

Schulz, E.: Using structure to explore efficiently. Structure for Efficient Reinforcement Learning (SERL 2019): Workshop at the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making , Montréal, Canada (2019)

Schulz, E.: Exploration and generalization in structured bandits. Laboratoire de Neurosciences Cognitives Computationnelles (LNC2): nEuro-Economics Seminar Series, Paris, France (2018)

Schulz, E.: Learning and decisions in contextual multi-armed bandit tasks. Stirling PhD Conference in Behavioural Science, Stirling, UK (2015)

Ludwig, T.; Schulz, E.; Siegel, M.: Multi-task Learning in the Human Brain. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Modirshanechi, A.; Dayan, P.; Schulz, E.: Testing an Integrative Framework for the Sense of Control. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Naranjo Coronel, I.; Demircan, C.; Schulz, E.: How Does an LLM Process Conflicting Information In-Context? 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Saanum, T.; Schulz, E.: Not all induction heads are created equal. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Voudouris, K.; Akata, E.; Schulz, E.: Large Language Models Are Good In-Context Function Learners. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)