"Training advanced machine learning (ML) models like Denoising Diffusion Probabilistic Models
(DDPMs) is resource-intensive, limiting their practical use. The uniform application of diffusion
steps, regardless of data ...
Class imbalance is a major challenge in machine learning, especially in tabular datasets where
critical minority classes are often underrepresented. This imbalance can lead to biased models that
disproportionately favor ...