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cs.LG2026
Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models
Shashank Sule, Xinyue Yu, Boonam Shin +3
Understanding the mechanism behind why diffusion models memorize their training data remains an open question in generative modeling. In this paper, we examine this question from t…
cs.LG2025
Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Xinyue Yu, Hayden Schaeffer
Operator learning is a data-driven approximation of mappings between infinite-dimensional function spaces, such as the solution operators of partial differential equations. Kernel-…