일시 : 2023년 10월 13일 (금), 10:30 - 11:30
장소 : 공학 4동 302호
강의명 : Advances in the Score-based Generative Models
연사 : 임성빈 교수 (고려대학교 통계학과)
Abstract
Diffusion models have recently acquired significant attention in the field of generative modeling of machine learning research due to their various theoretical advantages and remarkable applications in artificial intelligence, such as Stable Diffusion and DALL-E. In this presentation, we first introduce the theoretical background of the score-based diffusion models and present the latest results of their applications to machine learning. We also present advanced score-based generative models based on the time reversal theory of Lévy processes and diffusion theory in Hilbert space.