Publications of N Éltetö

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.; Li, J.-A.; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; 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.: A foundation model to predict and capture human cognition. Nature 644 (8078), pp. 1002 - 1009 (2025)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports 13, 7680 (2023)

Kóbor, A.; Tóth-Fáber, E.; Kardos, Z.; Takács , Á.; Éltetö, N.; Janacsek, K.; Csépe, V.; Nemeth, D.: Simple deterministic and complex probabilistic regularities underlying risky choices are acquired in a changing decision context. Scientific Reports 13 (1), 1127 (2023)

Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)

Kóbor, A.; Kardos, Z.; Takács, Á.; Éltetö, N.; Janacsek, K.; Tóth-Fáber, E.; Csépe, V.; Nemeth, D.: Adaptation to recent outcomes attenuates the lasting effect of initial experience on risky decisions. Scientific Reports 11 (1), 10132, pp. 1 - 20 (2021)

Éltetö, N.; Janacsek, K.; Kóbor, A.; Takács, Á.; Tóth-Fáber, E.; Németh, D.: Do adolescents take more risks? Not when facing a novel uncertain situation. Cognitive Development 50, pp. 105 - 117 (2019)

Simor, P.; Zavecz, Z.; Horváth, K.; Éltetö, N.; Török, C.; Pesthy, O.; Gombos, F.; Janacsek, K.; Nemeth, D.: Deconstructing Procedural Memory: Different Learning Trajectories and Consolidation of Sequence and Statistical Learning. Frontiers in Psychology 9, 2708, pp. 1 - 18 (2019)

Takács, Á.; Kóbor, A.; Chezan, J.; Éltetö, N.; Tárnok, Z.; Nemeth, D.; Ullman, M.; Janacsek, K.: Is procedural memory enhanced in Tourette syndrome? Evidence from a sequence learning task. Cortex 100, pp. 84 - 94 (2018)

Saanum, T.; Éltetö, N.; Dayan, P.; Binz, M.; Schulz, E.: Reinforcement Learning with Simple Sequence Priors. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2710, pp. 61985 - 62005 (Eds. Oh, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, December 10, 2023 - December 16, 2023. Curran, Red Hook, NY, USA (2024)

Éltetö, N.; Dayan, P.: Habits of Mind: Reusing Action Sequences for Efficient Planning. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023): Workshop "Compositionality in minds, brains and machines: a unifying goal that cuts across cognitive sciences", Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 195 - 201 (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)

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)

Éltetö, N.; Janacsek, K.; Kóbor, A.; Takács, Á.; Nemeth, D.: Does statistical learning contribute to decision making under uncertainty? In 6th International Conference on Memory (ICOM-6), A-0856, p. 171. 6th International Conference on Memory (ICOM-6) , Budapest, Hungary, July 17, 2016 - July 22, 2016. (2016)

Takács, Á.; Kóbor, A.; Janacsek, K.; Yuval, S.; Chezan, J.; Éltetö, N.; Tárnok, Z.; Tremblay, A.; Ullman, M.; Nemeth, D.: Probabilistic sequence learning in Tourette-syndrome. In 6th International Conference on Memory (ICOM-6), A-0632, p. 30. 6th International Conference on Memory (ICOM-6), Budapest, Hungary, July 17, 2016 - July 22, 2016. (2006)

Castro, P.; Tomasev, N.; Anand, A.; Sharma, N.; Mohanta, R.; Dev, A.; Novikov, A.; Perlin, K.; Elteto, N.; Jain, S. et al.; Levin, K.; Eckstein, M.; Dabney, W.; Turner, G.; Daw, N.; Stachenfeld, K.; Miller, K.: Automated discovery of interpretable cognitive programs underlying reward-guided behavior. Computational and Systems Neuroscience Meeting (COSYNE 2025), Montreal, Canada (2025)

Éltetö, N.; Veit, L.; Koparkar, A.; Dayan, P.: Variable syllable context depth in Bengalese finch songs: A Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Éltetö, N.; Németh, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

Schwartenbeck, P.; Éltetö, N.; Braun, A.; Bányai, M.; Dayan, P.: Hierarchically structured representations facilitate visual understanding. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)