Publikationen von C Demircan

Binz, M.; Akata, E.; Bethge, M.; Brändle, F.; Callaway, F.; Coda-Forno, J.; Dayan, P.; Demircan, C.; Eckstein, M.; Éltetö, N. et al.; Griffiths, T.; Haridi, S.; Jagadish, A.; Li, J.-A.; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Sui, X.; Thalmann, M.; Theis, F.; Truong, V.; Udandarao, V.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.; Schulz, E.: A foundation model to predict and capture human cognition. Nature 644 (8078), S. 1002 - 1009 (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)

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)

Demircan, C.; Pettini, L.; Saanum, T.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 976 - 982 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

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)

Demircan, C.; Binz, M.; Modirshanechi, A.; Schulz, E.: Meta-learning as a principle for human-like visual representations. (eingereicht)

Binz, M.; Akata, E.; Almaatouq, A.; Alsobay, M.; Ariasov, O.; Brändle, F.; Broska, D.; Burton, J.; Busch, N.; Callaway, F. et al.; Cheung, V.; Christian, B.; Coda-Forno, J.; Demircan, C.; Dentella, V.; Eckstein, M.; Éltetö, N.; Franke, M.; Griffiths, T.; Günther, F.; Haridi, S.; Hellmann, S.; Herytash, S.; Hof, L.; Holton, E.; Hoxha, I.; Hussain, Z.; Jagadish, A.; Kara, E.; Kriegmair, V.; Leivada, E.; Ji-An, L.; Ludwig, T.; Maier, M.; Mattar, M.; Mathony, M.; Modirshanechi, A.; Na, R.; Nadverniuk, M.; Nasioulas, A.; Nath, S.; Niemeyer, H.; Nussenbaum, K.; Olschewski, S.; Pachur, T.; Palminteri, S.; Petrenco, A.; Phaneuf-Hadd, C.; Pirrone, A.; Rausch, M.; Raveling, L.; Reddy, S.; Rmus, M.; Russek, E.; Saanum, T.; Sandbrink, K.; Schiekiera, L.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Somerville, L.; Spektor, M.; Sui, X.; Summerfield, C.; Thalmann, M.; Thoma, A.; Tikhomirova, T.; Truong, V.; Tsvilodub, P.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.-D.; Xu, S.; Ying, L.; Zhang, X.; Zhu, J.-Q.; Schulz, E.: Post-training makes large language models less human-like. (eingereicht)

Demircan, C.; Saanum, T.; Jagadish, A.; Binz, M.; Schulz, E.: Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. (eingereicht)

Demircan, C.; Saanum, T.; Pettini, L.; Binz, M.; Baczkowski, B.; Kaanders, P.; Doeller, C.; Garvert, M.; Schulz, E.: Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks. (eingereicht)