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Neuron|October 23, 2025
From prediction to understanding: Will AI foundation models transform brain science?Thomas Serre, Ellie PavlickPhilosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|June 4, 2023
Symbols and grounding in large language modelsEllie PavlickArxiv|February 27, 2024
CURRICULUM EFFECTS AND COMPOSITIONALITY EMERGE WITH IN-CONTEXT LEARNING IN NEURAL NETWORKSJacob Russin, Ellie Pavlick, Michael J FrankProceedings of the National Academy of Sciences of the United States of America|August 28, 2025
Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learningJacob Russin, Ellie Pavlick, Michael J FrankThe Behavioral and Brain Sciences|September 28, 2023
Properties of LoTs: The footprints or the bear itself?Sam Whitman McGrath, Jacob Russin, Ellie Pavlick, et al.Current Directions in Psychological Science|February 14, 2025
How Can Deep Neural Networks Inform Theory in Psychological Science?Sam Whitman McGrath, Jacob Russin, Ellie Pavlick, et al.The Behavioral and Brain Sciences|September 23, 2024
Is human compositionality meta-learned?Jacob Russin, Sam Whitman McGrath, Ellie Pavlick, et al.Plos One|February 22, 2020
SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaningBenjamin W Chrisinger, Eliza W Kinsey, Ellie Pavlick, et al.Annual Review of Vision Science|August 9, 2019
Deep Learning: The Good, the Bad, and the UglyThomas SerreWiley Interdisciplinary Reviews. Cognitive Science|March 22, 2016
Models of visual categorizationThomas SerrePageof 6