Suchergebnisse

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, S. 2623 - 2630 (Hg. 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, 30. Juli 2025 - 02. August 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, S. 969 - 976 (Hg. 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, 30. Juli 2025 - 02. August 2025. (2025)

Wagner, E.; Alon, N.; Barnby, J.; Abend, O.: Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning. In: Findings of the Association for Computational Linguistics: ACL 2025, S. 26658 - 26668 (Hg. Che, W.; Nabende, J.; Shutova, E.; Pilehvar, M.). 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Wien, Austria, 27. Juli 2025 - 01. August 2025. Association for Computational Linguistics (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, S. 4378 - 4384 (Hg. 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, 30. Juli 2025 - 02. August 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, S. 122406 - 122433 (Hg. 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, 11. Dezember 2024 - 15. Dezember 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, 05. August 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, S. 38355 - 38382 (Hg. Globerson, A.; Mackay, L.; Belgrave, D.; Fan, A.; Paquet, U. et al.). Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 10. Dezember 2024 - 15. Dezember 2024. Curran, Red Hook, NY, USA (2025)

Maquiling, V.; Zhaoping, L.; Kasneci, E.: Imperceptible Gaze Guidance Through Ocularity in Virtual Reality. In: Proceedings of the ACM on Human-Computer Interaction, Bd. 9, ETRA14. ACM Symposium on Eye Tracking Research & Applications (ETRA 2024), Glasgow, UK, 04. Juni 2024 - 07. Juni 2024. ACM, New York (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, 24. April 2025 - 28. April 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, 24. April 2025 - 28. April 2025. (2025)

Saanum, T.; Schulze Buschoff, L.; Dayan, P.; Schulz, E.: Next state prediction gives rise to entangled, yet compositional representations of objects. In: Thirteenth International Conference on Learning Representations (ICLR 2025). Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, 24. April 2025 - 28. April 2025. (2025)

Sarıtaş, K.; Dayan, P.; Shen, K.; Nath, S.: Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise. In: ICLR 2025 Workshop on Representational Alignment (Re-Align). ICLR 2025 Workshop on Representational Alignment (Re-Align), Singapore, 28. April 2025. (2025)

Wu, S.; Thalmann, M.; Dayan, P.; Akata, Z.; Schulz, E.: Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. In: Thirteenth International Conference on Learning Representations (ICLR 2025). Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, 24. April 2025 - 28. April 2025. (2025)

Rachum, R.; Nakar, Y.; Tomlinson, B.; Alon, N.; Mirsky, R.: Emergent Dominance Hierarchies in Reinforcement Learning Agents. In: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII: International Workshop, COINE 2024, Auckland, New Zealand, May 7, 2024, S. 41 - 56 (Hg. Cranefield, S.; Nardin, L.; Lloyd, N.). International Workshop Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII (COINE 2024) , Auckland, New Zealand, 07. Mai 2024. Springer, Cham, Switzerland (2025)

Samuel Castro, P.; Tomasev, N.; Anand, A.; Sharma, N.; Mohanta, R.; Dev, A.; Perlin, K.; Jain, S.; Levin, K.; Éltetö, N. et al.; Dabney, W.; Novikov, A.; Turner, G.; Eckstein, M.; Daw, N.; Miller, K.; Stachenfeld, K.: Discovering Symbolic Cognitive Models from Human and Animal Behavior. In: 42nd International Conference on Machine Learning, 255, S. 6849 - 6890 (Hg. Singh, A.; Fazel, M.; Hsu, D.; Lacoste-Julien, S.; Berkenkamp, F. et al.). 42nd International Conference on Machine Learning (ICML 2025), Vancouver, Canada, 13. Juli 2025 - 19. Juli 2025. (2025)

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model. In: 2024 Conference on Cognitive Computational Neuroscience, C85. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Lu, H.; Teng, T.; Zhang, H.: The Development of Superstitions in Uncontrollable Environment. In: 2024 Conference on Cognitive Computational Neuroscience, A8. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Satti, M.; Wille, K.; Nassar, M.; Cichy, R.; Schuck, N.; Dayan, P.; Bruckner, R.: Absence of Systematic Effects of Trait Anxiety on Learning Under Uncertainty. In: 2024 Conference on Cognitive Computational Neuroscience, B27. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Sui, X.; Dayan, P.; Lloyd, K.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). In: 2024 Conference on Cognitive Computational Neuroscience, A30. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Brändle, F.; Kessler, S.; Ruggeri, A.; Schulz, E.: Uncertainty-driven little alchemists: Differences in exploration strategies between adults and children in an online game. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024). 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)