Maria K. Eckstein

13 papers A* 3B 5Journal 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A foundation model to predict and capture human cognition. Nat. Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2025	A*	`conf`	Discovering Symbolic Cognitive Models from Human and Animal Behavior. ICML Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noémi Élteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2025	J	`jnl`	Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. PLoS Comput. Biol. Albert J. Qü, Lung-Hao Tai, Christopher D. Hall, Emilie M. Tu, Maria K. Eckstein, Karyna Mishchanchuk, Wan Chen Lin, Juliana Chase, Andrew F. Macaskill, Anne G. E. Collins, Samuel J. Gershman, Linda Wilbrecht
2025	B	`conf`	Physical reasoning during motor learning aids people in transferring mass, but not motor control mappings. CogSci Fabian Tatai, Dominik Ürüm, Maria K. Eckstein, Constantin A. Rothkopf
2024	J	`jnl`	Centaur: a foundation model of human cognition. CoRR Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2023	A*	`conf`	Cognitive Model Discovery via Disentangled RNNs. NeurIPS Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson
2023	B	`conf`	Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. CogSci Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller
2021	B	`conf`	How the Mind Creates Structure: Hierarchical Learning of Action Sequences. CogSci Maria K. Eckstein, Anne G. E. Collins
2021	J	`jnl`	Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Comput. Biol. Liyu Xia, Sarah L. Master, Maria K. Eckstein, Beth Baribault, Ronald E. Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
2020	—	`—`	Computational Models of Learning and Hierarchy Maria K. Eckstein
2020	B	`conf`	Learning under uncertainty changes during adolescence. CogSci Liyu Xia, Sarah L. Master, Maria K. Eckstein, Linda Wilbrecht, Anne Collins
2020	A*	`conf`	OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo
2018	B	`conf`	Evidence for hierarchically-structured reinforcement learning in humans. CogSci Maria K. Eckstein, Anne Collins