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个人简介
I am working to make machines that learn structure in the world that can support efficient learning and planning, using insights from neuroscience.
Compared to current state-of-the-art in Machine Learning, humans and animals are highly flexible and adaptive learners. Typical deep learning models require vast amounts of experience and remain rigidly specialized for the particular task on which they were trained. Animals are comparatively adaptive, constantly stashing information for unknowable future problems and extracting patterns from past experience.
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论文共 27 篇作者统计合作学者相似作者
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Tom M. George, Mehul Rastogi,William John de Cothi,Claudia Clopath,Kimberly Stachenfeld,Caswell Barry, Mackenzie W. Mathis
ELIFE (2024)
Psychological reviewno. 2 (2023): 578-597
ICLR 2024 (2023)
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