Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. - Noémi Élteto; Dezso Németh; Karolina Janacsek; Peter Dayan (CogSci, 2021)

Chunking as a Rational Solution to the Speed-Accuracy Trade-off in a Serial Reaction Time Task. - Shuchen Wu; Noémi Élteto; Ishita Dasgupta 001; Eric Schulz (CogSci, 2021)

Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. - Shuchen Wu; Noémi Élteto; Ishita Dasgupta 001; Eric Schulz (NeurIPS, 2022)

Tracking human skill learning with a hierarchical Bayesian sequence model. - Noémi Élteto; Dezso Németh; Karolina Janacsek; Peter Dayan (PLoS Comput. Biol., 2022)

Habits of Mind: Reusing Action Sequences for Efficient Planning. - Noémi Élteto; Peter Dayan (CogSci, 2023)

Reinforcement Learning with Simple Sequence Priors. - Tankred Saanum; Noémi Élteto; Peter Dayan; Marcel Binz; Eric Schulz (NeurIPS, 2023)

Centaur: a foundation model of human cognition. - 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 001; Susanne Haridi; et al. (CoRR, 2024)

A foundation model to predict and capture human cognition. - 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 001; Susanne Haridi; et al. (Nat., 2025)