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Maria K. Eckstein

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affiliation: Google Deepmind, USA

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2020 – today

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2025
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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:
A foundation model to predict and capture human cognition. Nat. 644(8078): 1002-1009 (2025)
2024
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  - journals/corr/abs-2410-20268
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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:
Centaur: a foundation model of human cognition. CoRR abs/2410.20268 (2024)
2023
[c6]
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Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller:
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. CogSci 2023
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Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson:
Cognitive Model Discovery via Disentangled RNNs. NeurIPS 2023
2021
[j1]
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Liyu Xia, Sarah L. Master, Maria K. Eckstein, Beth Baribault, Ronald E. Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins:
Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Comput. Biol. 17(7) (2021)
[c4]
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Maria K. Eckstein, Anne G. E. Collins:
How the Mind Creates Structure: Hierarchical Learning of Action Sequences. CogSci 2021
2020
[b1]
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Maria K. Eckstein:
Computational Models of Learning and Hierarchy. University of California, Berkeley, USA, 2020
[c3]
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Liyu Xia, Sarah L. Master, Maria K. Eckstein, Linda Wilbrecht, Anne Collins:
Learning under uncertainty changes during adolescence. CogSci 2020
[c2]
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  - conf/icml/VezhnevetsWELL20
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Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo:
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML 2020: 9733-9742

2010 – 2019

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2018
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Maria K. Eckstein, Anne Collins:
Evidence for hierarchically-structured reinforcement learning in humans. CogSci 2018

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