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stat.ML2026
Self-Regulating Annealing in Heavy-Tailed Diffusion Models
Keito Wakatsuki, Hideaki Shimazaki
Diffusion models have emerged as a leading framework for deep generative modeling. While the standard Gaussian formulation is theoretically convenient, its suitability for heavy-ta…
stat.ML2025
Enhancing diffusion models with Gaussianization preprocessing
Li Cunzhi, Louis Kang, Hideaki Shimazaki
Diffusion models are a class of generative models that have demonstrated remarkable success in tasks such as image generation. However, one of the bottlenecks of these models is sl…