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cs.IT2026
Convergence of Denoising Diffusion Probabilistic Models: A Rényi Divergence Perspective
Wenliang Liu, Santiago Mazuelas, Guanding Yu +3
Denoising diffusion probabilistic models (DDPMs) have emerged as a powerful framework for generative modeling by transforming standard Gaussian inputs into outputs that approximate…
cs.IT2024
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
Wenliang Liu, Guanding Yu, Lele Wang +1
We study the Out-of-Distribution (OOD) generalization in machine learning and propose a general framework that establishes information-theoretic generalization bounds. Our framewor…