Preprint (21)

101.
Preprint
Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, T.; Theves, S.: The hippocampus supports interpolation into new states during category abstraction. (submitted)
102.
Preprint
Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. (submitted)
103.
Preprint
Schubert, J.; Jagadish, A.; Binz, M.; Schulz, E.: In-context learning agents are asymmetric belief updaters. (submitted)
104.
Preprint
Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. (submitted)
105.
Preprint
Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. (submitted)
106.
Preprint
Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shriffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advent of large language models affect the practice of science? (submitted)
107.
Preprint
Wu, S.; Thalmann, M.; Schulz, E.: Motif Learning Facilitates Sequence Memorization and Generalization. (submitted)
108.
Preprint
Schulze Buschoff, L.; Akata, E.; Bethge, M.; Schulz, E.: Have we built machines that think like people? (submitted)
109.
Preprint
Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. (submitted)
110.
Preprint
Thalmann, M.; Schäfer, T.; Theve, S.; Doeller, C.; Schulz, E.: What changes with representational change? (submitted)
111.
Preprint
Jagadish, A.; Binz, M.; Saanum, T.; Wang, J.; Schulz, E.: Zero-shot compositional reinforcement learning in humans. (submitted)
112.
Preprint
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. (submitted)
113.
Preprint
Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. (submitted)
114.
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Coda-Forno, J.; Witte, K.; Jagadish, A.; Binz, M.; Akata, Z.; Schulz, E.: Inducing anxiety in large language models increases exploration and bias. (submitted)
115.
Preprint
Binz, M.; Schulz, E.: Modeling Human Exploration Through Resource-Rational Reinforcement Learning. (submitted)
116.
Preprint
Saanum, T.; Schulz, E.: Learning Parsimonious Dynamics for Generalization in Reinforcement Learning. (submitted)
117.
Preprint
Schulze Buschoff, L.; Schulz, E.; Binz, M.: Stochastic Gradient Descent Captures How Children Learn About Physics. (submitted)
118.
Preprint
Binz, M.; Schulz, E.: Exploration With a Finite Brain. (submitted)
119.
Preprint
Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: Emotion, entropy evaluations and subjective uncertainty. (submitted)

Blog Post (1)

120.
Blog Post
Schulz, E.: Science on film, episode 3: Computational principles of intelligence. (2020)
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