Publications of E Schulz

Schulz, E.; Gershman, S.: The algorithmic architecture of exploration in the human brain. Current Opinion in Neurobiology 55, pp. 7 - 14 (2019)

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Generalization guides human exploration in vast decision spaces. Nature Human Behaviour 2 (12), pp. 915 - 924 (2018)

Schulz, E.; Wu, C.; Huys, Q.; Krause, A.; Speekenbrink, M.: Generalization and search in risky environments. Cognitive Science 42 (8), pp. 2592 - 2620 (2018)

Dasgupta, I.; Schulz, E.; Goodman, N.; Gershman , S.: Remembrance of Inferences Past: Amortization in Human Hypothesis Generation. Cognition 178, pp. 67 - 81 (2018)

Schulz, E.; Speekenbrink, M.; Krause, A.: A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions. Journal of Mathematical Psychology 85, pp. 1 - 16 (2018)

Schulz, E.; Konstantinidis, E.; Speekenbrink, M.: Putting Bandits Into Context: How Function Learning Supports Decision Making. Journal of Experimental Psychology: Learning, Memory, and Cognition 44 (6), pp. 927 - 943 (2018)

Schulz, E.; Tenenbaum, J.; Duvenaud, D.; Speekenbrink , M.; Gershman, S.: Compositional Inductive Biases in Function Learning. Cognitive Neuroscience 99, pp. 44 - 79 (2017)

Dasgupta, I.; Schulz, E.; Gershman, S.: Where Do Hypotheses Come From? Cognitive Psychology 96, pp. 1 - 25 (2017)

Cokely, E.; Galesic, M.; Schulz, E.; Ghazal, S.; Garcia-Retamero, R.: Measuring risk literacy: The Berlin numeracy test. Judgment and Decision Making 7 (1), pp. 25 - 47 (2012)

Schulz, E.; Cokely, E.; Feltz, A.: Persistent bias in expert judgments about free will and moral responsibility: A test of the expertise defense. Consciousness and Cognition 20 (4), pp. 1722 - 1731 (2011)

Cogliati Dezza, I.; Wu, C.; Schulz, E.: The Drive for Knowledge: The Science of Human Information-Seeking. Cambridge University Press, Cambridge, UK (2022), 292 pp.

Brändle, F.; Binz, M.; Schulz, E.: Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking, pp. 147 - 168 (Eds. Cogliati Dezza, I.; Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)

Cogliati Dezza, I.; Schulz, E.; Wu, C.: Future challenges. In: The drive for knowledge: The science of human information seeking, pp. 279 - 290 (Eds. Cogliati Dezza, I.; Schulz, E.; Wu, C.). Cambridge University Press, Cambridge, UK (2022)

Cokely, E.; Ghazal, S.; Galesic, M.; García-Retamero, R.; Schulz, E.: How to measure risk comprehension in educated samples. In: Transparent communication of health risks: Overcoming cultural differences, pp. 29 - 52. Springer, New York, NY, USA (2013)

Schulze Buschoff, L.; Schulz, E.; Binz, M.: The Acquisition of Physical Knowledge in Generative Neural Networks. In: Fortieth International Conference on Machine Learning (ICML 2023). Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, HI,USA, July 23, 2023 - July 29, 2023. (submitted)

Binz, M.; Schulz, E.: Exploration With a Finite Brain. In: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. (accepted)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. (accepted)

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, pp. 976 - 982 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)

Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 2940 - 2946 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)

Jagadish, A.; Saanum, T.; Wang, J.; Binz, M.; Schulz, E.: Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, pp. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)