3 papers
stat.ML2025
Latent Nonlinear Denoising Score Matching for Enhanced Learning of Structured Distributions
Kaichen Shen, Wei Zhu
We present latent nonlinear denoising score matching (LNDSM), a novel training objective for score-based generative models that integrates nonlinear forward dynamics with the VAE-b…
quant-ph2025
Sample-efficient quantum error mitigation via classical learning surrogates
Wei-You Liao, Ge Yan, Yujin Song +5
The pursuit of practical quantum utility on near-term quantum processors is critically challenged by their inherent noise. Quantum error mitigation (QEM) techniques are leading sol…
cs.LG2025
Statistical Learning Guarantees for Group-Invariant Barron Functions
Yahong Yang, Wei Zhu
We investigate the generalization error of group-invariant neural networks within the Barron framework. Our analysis shows that incorporating group-invariant structures introduces…