Schulze Buschoff, L.; Schulz, E.; Binz, M.: The Acquisition of Physical Knowledge in Generative Neural Networks. In: 40th International Conference on Machine Learning, pp. 30321 - 30341 (Eds. Krause, A.; Brunskill, E.; Cho, K.; Engelhardt, B.; Sabato, S. et al.). Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, HI,USA, July 23, 2023 - July 29, 2023. (2023)

Thalmann, M.; Schulz, E.: Simple, Idiosyncratic Decision Heuristics in a Two-Armed Bandit Task. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.80, pp. 1156 - 1159. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Witte, K.; Schulz, E.; Wise, T.; Huys, Q.: People who worry more explore more. In: 2023 Conference on Cognitive Computational Neuroscience, P-1.101, pp. 355 - 357. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Wu, S.; Thalmann, M.; Schulz, E.: Projectional motifs facilitate sequence memorization and transfer. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.118, pp. 1294 - 1296. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Binz, M.; Schulz, E.: Modeling Human Exploration Through Resource-Rational Reinforcement Learning. In: Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 31755 - 31768 (Eds. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. Curran, Red Hook, NY, USA (2023)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 36706 - 36721 (Eds. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. Curran, Red Hook, NY, USA (2023)

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)

Bashiri, M.; Walker, E.; Lurz, K.-K.; Jagadish, A.; Muhammad, T.; Ding, Z.; Ding, Z.; Tolias, A.; Sinz, F.: A flow-based latent state generative model of neural population responses to natural images. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), pp. 15801 - 15815 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), December 06, 2021 - December 14, 2021. Curran, Red Hook, NY, USA (2022)

Witte, K.; Wise, T.; Schulz, E.: The two faces of anxiety in exploration: Taking risks or playing it safe. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.47, p. 32. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), April 25, 2022 - April 29, 2022. (2022)

Saanum, T.; Schulz, E.; Speekenbrink, M.: Compositional generalization in multi-armed bandits. In: 43rd Annual Conference of the Cognitive Science Society (CogSci 2021): Workshop 2 Using Games to Understand Intelligence, pp. 1320 - 1326. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria, July 26, 2021 - July 29, 2021. Curran, Red Hook, NY, USA (2021)

Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: The Psychology of Human Entropy Intuitions. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, P-1-120, pp. 1457 - 1463 (Eds. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, July 29, 2020 - August 01, 2020. Curran, Red Hook, NY, USA (2020)

Binz, M.; Schulz, E.: Using cognitive psychology to understand GPT-3. In Subjective Probability, Utility & Decision Making (SPUDM 2023), p. 31. Subjective Probability, Utility & Decision Making (SPUDM 2023), Wien, Austria, August 20, 2023 - August 24, 2023. (2023)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty. In Abstracts of the 65th TeaP, pp. 262 - 263 (Eds. Merz, S.; Frings, C.; Leuchtenberg, B.; Moeller, B.; Neumann, R. et al.). 65th Conference of Experimental Psychologists: TeaP 2023: Tagung experimentell arbeitender Psycholog:innen, Trier, Germany, March 26, 2023 - March 29, 2023. ZPID, Trier, Germany (2023)

Brändle, F.; Wu, C.; Schulz, E.: Fun as maximizing learnability: Balancing difficulty and prior knowledge. In 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, p. 4001 (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)

Thalmann, M.; Schaefer, T.; Theves, S.; Doeller, C.; Schulz, E.: Are Representations Shaped by Task-Specific Goals? In 21st Annual Summer Interdisciplinary Conference (ASIC 2022). 21st Annual Summer Interdisciplinary Conference (ASIC 2022), Chamonix, France, June 16, 2022 - June 21, 2022. (2022)

Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: The Developmental Trajectory of Learning and Exploration. In Budapest CEU Conference on Cognitive Development (BCCCD 2022), A-0136, p. 203. Budapest CEU Conference on Cognitive Development (BCCCD 2022), Budapest, Hungary, January 10, 2022 - January 14, 2022. (2022)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Towards a computational cognitive perspective of misinformation. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T10, p. 11. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, October 07, 2021. (2021)