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stat.ML2025
Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces
Yang Lyu, Tan Minh Nguyen, Yuchun Qian +1
Diffusion models are popular tools for generating new data samples, using a forward process that adds noise to data and a reverse process to denoise and produce samples. However, w…
stat.ML2023★ 2 cited
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Hien Dang, Tho Tran, Tan Nguyen +1
The posterior collapse phenomenon in variational autoencoder (VAE), where the variational posterior distribution closely matches the prior distribution, can hinder the quality of t…
stat.ML2022★ 3 cited
Hierarchical Sliced Wasserstein Distance
Khai Nguyen, Tongzheng Ren, Huy Nguyen +3
Sliced Wasserstein (SW) distance has been widely used in different application scenarios since it can be scaled to a large number of supports without suffering from the curse of di…