Brändle, F.: Exploration beyond bandits. Bernstein 2022 Satellite Workshop: Surprise in the brain: Theory and Experiments, Berlin, Germany (2022)

Brändle, F.: Spaß für Mensch und Maschine: Von Belohnungen, die Entscheidungen beeinflussen. Kortizes: Live-Online-Vortragsreihe "Vom Reiz der Sinne: Wahrnehmung und Gehirn", Feucht, 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)

Brändle, F.: Using games to study exploration. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021): Workshop 2 Using Games to Understand Intelligence (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)

Demircan, C.; Saanum, T.; Jagadish, A.; Binz, M.; Schulz, E.: Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore (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)

Schütt, H.; Kipnis, A.; Diedrichsen, J.; Kriegeskorte, N.: Statistical inference on representational geometries. Twenty-Third Annual Meeting of the Vision Sciences Society (VSS 2023), St. Pete Beach, FL, USA (2023)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany (2023)

Witte, K.; Wise, T.; Huys, Q.; Schulz, E.: The Causal Role of Worrying in Increasing Exploration Behaviour. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany (2023)

Witte, K.; Wise, T.; Huys, Q.; Schulz, E.: The Causal Role of Worrying in IncreasingExploration Behaviour. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Saanum, T.; Schulz, E.: Learning parsimonious dynamics for state abstraction and navigation. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)