Publications of E Schulz

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)

Modirshanechi, A.; Dayan, P.; Schulz, E.: An integrative framework for the human sense of control. Thirteenth Symposium on Biology of Decision-Making (SBDM 2026), Paris, France (2026)

Modirshanechi, A.; Dayan, P.; Schulz, E.: Testing an integrative framework for the human sense of control. Computational and Systems Neuroscience Meeting (COSYNE 2026), Lisbon, Portugal (2026)

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)

Witte, K.; Rmus, M.; Akata, E.; Schulz, E.: Using Llama-3 to Refine Psychotherapy in Silico. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Modirshanechi, A.; Dayan, P.; Schulz, E.: Seeking a sense of control: A normative perspective. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland (2025)

Wu, S.; Yoerueten, M.; Wichmann, F.; Schulz, E.: Normalized Cuts Characterize Visual Recognition Difficulty of Amorphous Image Sub-parts. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)

Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, C.; Theves, S.: The role of cognitive maps in prototype-based inference. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA (2023)