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04/24/2023
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior
Variational auto-encoders (VAEs) are one of the most popular approaches ...
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12/23/2022
Your diffusion model secretly knows the dimension of the data manifold
In this work, we propose a novel framework for estimating the dimension ...
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07/20/2022
Non-Uniform Diffusion Models
Diffusion models have emerged as one of the most promising frameworks fo...
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06/16/2022
Classification of datasets with imputed missing values: does imputation quality matter?
Classifying samples in incomplete datasets is a common aim for machine l...
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11/26/2021
Conditional Image Generation with Score-Based Diffusion Models
Score-based diffusion models have emerged as one of the most promising f...
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03/02/2021