NeurIPS "overparameterized models" Papers

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Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold

Xinghan Li, Haodong Wen, Kaifeng Lyu

NeurIPS 2025posterarXiv:2511.02773

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining

Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar

NeurIPS 2025posterarXiv:2506.20025
1
citations

Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training

Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.

NeurIPS 2025oral