Publications of E Schulz

Schulze Buschoff, L.; Akata, E.; Bethge, M.; Schulz, E.: Have we built machines that think like people? (submitted)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. (submitted)

Thalmann, M.; Schäfer, T.; Theve, S.; Doeller, C.; Schulz, E.: What changes with representational change? (submitted)

Jagadish, A.; Binz, M.; Saanum, T.; Wang, J.; Schulz, E.: Zero-shot compositional reinforcement learning in humans. (submitted)

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)

Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. (submitted)

Coda-Forno, J.; Witte, K.; Jagadish, A.; Binz, M.; Akata, Z.; Schulz, E.: Inducing anxiety in large language models increases exploration and bias. (submitted)

Binz, M.; Schulz, E.: Modeling Human Exploration Through Resource-Rational Reinforcement Learning. (submitted)

Saanum, T.; Schulz, E.: Learning Parsimonious Dynamics for Generalization in Reinforcement Learning. (submitted)

Schulze Buschoff, L.; Schulz, E.; Binz, M.: Stochastic Gradient Descent Captures How Children Learn About Physics. (submitted)

Binz, M.; Schulz, E.: Exploration With a Finite Brain. (submitted)

Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: Emotion, entropy evaluations and subjective uncertainty. (submitted)

Jones, A.; Schulz, E.; Meder, B.; Ruggeri, A.: Learning functions actively. (submitted)

Parpart, P.; Schulz, E.; Speekenbrink, M.; Love, B.: Active learning reveals underlying decision strategies. (submitted)

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