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Zhou, H.; Besch, B.; Wu, C.; Gerstenberg, T.: Effective Explanations Support Planning Under Uncertainty. In: Proceedings of the 48th Annual Conference of the Cognitive Science Society. 48th Annual Meeting of the Cognitive Science Society (CogSci 2026), Rio de Janeiro, Brazil, July 22, 2026 - July 25, 2026. (submitted)

Orujlu, T.; Gumbsch, C.; Butz, M.; Wu, C.: Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem. In: Proceedings of Machine Learning Research, Vol. 323. 5th Conference on Causal Learning and Reasoning (CLeaR 2026), Cambridge, MA, USA, April 06, 2026 - April 08, 2026. JMLR, Cambridge, MA (2026)

Alon, N.: Theory of Mind in Partially Observed, Mixed-Motive Games. In: Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), pp. 41030 - 41031. 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), Singapore, January 20, 2026 - January 27, 2026. (2026)

Broszio, K.; Zauner, J.; Spitschan, M.: Wie viel Licht erreicht uns wirklich? Erkenntnisse aus der Dortmunder MeLiDos-Studie. In: 13. Symposium Licht und Gesundheit, pp. 27 - 32. 13. Symposium Licht und Gesundheit, February 25, 2026 - February 26, 2026. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Dortmund, Germany (2026)

Wörrlein, L.; Kobas, B.; Rockcastle, S.; Spitschan, M.: Übertragungseffekte bei der lichtinduzierten Melatoninunterdrückung. In: 13. Symposium Licht und Gesundheit, pp. 18 - 22. 13. Symposium Licht und Gesundheit, February 25, 2026 - February 26, 2026. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Dortmund, Germany (2026)

Zauner, J.; Hubalek, S.; Spitschan, M.: Translation von der Wissenschaft in die Praxis –Erarbeitung von stilisierten Praxisbeispielen zur Umsetzung der nicht-visuellen Lichtwirkung. In: 13. Symposium Licht und Gesundheit, pp. 33 - 34. 13. Symposium Licht und Gesundheit, February 25, 2026 - February 26, 2026. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Dortmund, Germany (2026)

Wu, S.; Alaniz, S.; Karthik, S.; Dayan, P.; Schulz, E.; Akata, Z.: Concept-Guided Interpretability via Neural Chunking. In: Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS 2025). Thirty-ninth Conference on Neural Information Processing Systems (NeurIPS 2025), Vancouver, Canada, December 10, 2024 - December 15, 2024. (2025)

Nagy, D.; Shen, K.; Zhou, H.; Wu, C.; Dayan, P.: Analogy making as amortised model construction. In: Finding the Frame Workshop at RLC 2025. Finding the Frame Workshop at RLC 2025, Edmonton, AB, Canada, August 05, 2025. (2025)

Zhou, H.; Mantiuk, F.; Nagy, D.; Wu, C.: Agent-centric learning: from external reward maximization to internal knowledge curation. In: Finding the Frame Workshop at RLC 2025. Finding the Frame Workshop at RLC 2025, Edmonton, AB, Canada, August 05, 2025. (2025)

Dettki, H.; Lake, B.; Wu, C.; Rehder, B.: Do Large Language Models Reason Causally Like Us? Even Better? In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 1837 - 1843 (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)

Mantiuk, F.; Zhou, H.; Wu, C.: From Curiosity to Competence: How World Models Interact with the Dynamics of Exploration. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 2398 - 2405 (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)

Nath, S.; del Cuvillo y Schröder, G.; Stevenson, C.: Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, T.14.4, pp. 1123 - 1130 (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)

Sarıtaş, K.; Dayan, P.; Shen, K.; Nath, S.: Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, V5-S-60, pp. 2623 - 2630 (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)

Szőcs, O.; Zhou, H.; Wu, C.: The Forest for the Trees: Global vs. Local Advice in Human-AI Interaction. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 969 - 976 (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)

Witt, A.; Palminteri, S.; Wu, C.: Flexibly biased learning rates in social learning. In: Proceedings of the 47th Annual Conference of the Cognitive Science Society, pp. 4378 - 4384 (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)

Demircan, C.; Saanum, T.; Pettini, L.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Evaluating alignment between humans and neural network representations in image-based learning tasks. In: NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems, 3890, pp. 122406 - 122433 (Eds. Globerson, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U. et al.). Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, December 11, 2024 - December 15, 2024. Curran, Red Hook, NY, USA (2025)

Orujlu, T.; Gumbsch, C.; Butz, M.; Wu, C.: Reframing attention as a reinforcement learning problem for causal discovery. In: The Causal Reinforcement Learning Workshop (CRLW 2025). The Causal Reinforcement Learning Workshop (CRLW 2025) @ RLC 2025, Edmonton, Alberta, Canada, August 05, 2025. (2025)

Saanum, T.; Dayan, P.; Schulz, E.: Simplifying Latent Dynamics with Softly State-Invariant World Models. In: NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems, 1212, pp. 38355 - 38382 (Eds. Globerson, A.; Mackay, L.; Belgrave, D.; Fan, A.; Paquet, U. et al.). Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, December 10, 2024 - December 15, 2024. Curran, Red Hook, NY, USA (2025)

Demircan, C.; Saanum, T.; Jagadish, A.; Binz, M.; Schulz, E.: Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. In: Thirteenth International Conference on Learning Representations (ICLR 2025). Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, April 24, 2025 - April 28, 2025. (2025)

Gholamzadeh, A.; Sajid, N.: Model alignment using inter-modal bridges. In: Thirteenth International Conference on Learning Representations (ICLR 2025). Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, April 24, 2025 - April 28, 2025. (2025)