Publications of E Schulz

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022) , Glasgow, UK (2022)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 29th Annual Meeting of the Cognitive Neuroscience Society (CNS 2022), San Francisco, CA, USA (2022)

Saanum, T.; Garvert, M.; Schulz, E.; Schuck, N.; Doeller, C.: Hippocampal spatio-temporal cognitive maps adaptively guide reward generalization. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Haridi, S.; Wu, C.; Dasgupta, I.; Schulz, E.: How does mental sorting scale? 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

Schäfer, T.; Schulz, E.; Theves, S.; Doeller, C.: Effects of prototype abstraction on pattern completion and inference in concept space. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

Rothe, A.; Schulz, E.; Sablé Meyer, M.; Tenenbaum, J.; Ruggeri, A.: Learning sequential patterns from graphical programs. 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada (2020)

Parpart, P.; Schulz, E.: Is covariance ignorance responsible for the success of heuristics? 40th Annual Cognitive Science Society Meeting (CogSci 2018), Madison, WI, USA (2019)

Stojic, H.; Schulz, E.; Speekenbrink, M.: It is new, but will it be good? Context-driven exploration of novel options. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK (2017)

Schulz, E.: Towards a unifying theory of generalization. Dissertation, 257 pp., University College London, London, UK (2017)

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. (submitted)

Modirshanechi, A.; Eysenbach, B.; Dayan, P.; Schulz, E.: Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization. (submitted)

Jagadish, A.; Thalmann, M.; Coda-Forno, J.; Binz, M.; Schulz, E.: Meta-learning ecological priors from large language models explains human learning and decision making. (submitted)

Modirshanechi, A.; Dayan, P.; Schulz, E.: An integrative framework for the human sense of control. (submitted)

Rmus, M.; Jagadish, A.; Mathony, M.; Ludwig, T.; Schulz, E.: Towards Automation of Cognitive Modeling using Large Language Models. (submitted)

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.; Ji-An; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; Scharfenberg, N.; 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.: Centaur: a foundation model of human cognition. (submitted)

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

Vélez, N.; Wu, C.; Gershman, S.; Schulz, E.: The rise and fall of technological development in virtual communities. (submitted)

Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, T.; Theves, S.: The hippocampus supports interpolation into new states during category abstraction. (submitted)

Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. (submitted)