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发表论文5 篇

平均评分6.4

年均产出1.7 篇/年

Daniel Beaglehole

PhD student@University of California, San Diego·OpenReview

研究方向

deep learning theory · nearest neighbors search

xRFM: Accurate, scalable, and interpretable feature learning models for tabular data

ICLR 2026Poster

Steering Autoregressive Music Generation with Recursive Feature Machines

ICLR 2026Poster

Emergence in non-neural models: grokking modular arithmetic via average gradient outer product

Emergence in non-neural models: grokking modular arithmetic via average gradient outer product

ICLR 2025Rejected

合作者 (12)

博士导师4 篇

Adityanarayanan Radhakrishnan

Neil Rohit Mallinar

Taylor Berg-Kirkpatrick