Author

Jia-Huan Wang

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Sep 2026

Adaptive Momentum Benefits Score-Based Generative Models

Score-based Generative Models (SGMs) have achieved remarkable success in generation tasks by establishing a diffusion process that gradually perturbs real data into Gaussian noise and then learning a reverse process to reconstruct the data from noise. However, conventional denoising methods, such as Langevin dynamics a...

Zi-Qing Wen, Ping Luo, Jia-Huan Wang et al. · IEEE Transactions on Image P... · 0 citations

#machine learning Preprint Sep 2026

Solution-space heterogeneity shapes federated learning dynamics across partial differential equations

Federated scientific machine learning enables institutions to train neural surrogates without centralizing local physical data, yet studies of partial differential equations (PDEs) lack a transferable definition of non-independent and identically distributed data. Existing protocols partition coordinates, coefficients,...

Ping Luo, Jia-Huan Wang, Zi-Qing Wen et al. · 0 citations