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stat.ML2026
A Quantitative Approximation Framework for Flow Distillation in Diffusion Models
Weiguo Gao, Ming Li, Lei Shi +1
We develop a quantitative framework for diffusion distillation by viewing few step sampling as approximation through compositions of learned flow maps. For trajectory distillation…
stat.ML2026
Variation Spaces for Encoder--Decoder Neural Operators: Approximation and Generalization
Jia-Qi Yang, Lei Shi
Inspired by the function-space theory of neural networks, we formulate and analyze a variation space for nonlinear operators between Hilbert spaces, defined through vector-valued B…