Variational auto-encoders (VAEs) are one of the most popular approaches ...
In this work, we propose a novel framework for estimating the dimension ...
Diffusion models have emerged as one of the most promising frameworks fo...
Classifying samples in incomplete datasets is a common aim for machine
l...
Score-based diffusion models have emerged as one of the most promising
f...
Wasserstein GANs are based on the idea of minimising the Wasserstein dis...