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发表论文5 篇

平均评分5.6

年均产出2.5 篇/年

Yann Dauphin

Researcher@Google·OpenReview

研究方向

machine learning · deep learning

Capturing Individual Human Preferences with Reward Features

NeurIPS 2025Poster

Towards Optimal Adapter Placement for Efficient Transfer Learning

ICLR 2025Rejected

Avoiding spurious sharpness minimization broadens applicability of SAM

ICML 2025Poster

Neglected Hessian component explains mysteries in sharpness regularization

NeurIPS 2024Spotlight

How Hessian structure explains mysteries in sharpness regularization

ICLR 2024Rejected

合作者 (16)

Aleksandra Nowak

Otniel-Bogdan Mercea