Diffusion models have revolutionized text-to-image generation with its exceptional quality
and creativity. However, its multi-step sampling process is known to be slow, often requiring …

In light of the remarkable success of in-context learning in large language models, its
potential extension to the vision domain, particularly with visual foundation models like …

Diffusion-based text-to-image generation models trained on extensive text-image pairs have
shown the capacity to generate photorealistic images consistent with textual descriptions …

Diffusion models have demonstrated effectiveness in generating natural images and have
been extended to generate diverse data types, including graphs. This new generation of …

The machine learning community is increasingly recognizing the importance of fostering
trust and safety in modern generative AI (GenAI) models. We posit machine unlearning (MU) …

The beta distribution serves as a canonical tool for modeling probabilities and is extensively
used in statistics and machine learning, especially in the field of Bayesian nonparametrics …