학술행사
- 발표자 임성빈 교수(고려대학교)
- 개최일시 2024-03-19 14:00-16:00
- 장소 국가수리과학연구소 산업수학혁신센터(판교)
-
일시: 2024년 3월 19일(화), 14:00~16:00
-
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
-
발표자: 임성빈 교수(고려대학교)
-
주요내용: Recent Advances in Score-based Generative Models
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 diffusion models and 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 diffusion processes in Hilbert space.
*유튜브 스트리밍 예정입니다.
-
일시: 2024년 3월 19일(화), 14:00~16:00
-
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
-
발표자: 임성빈 교수(고려대학교)
-
주요내용: Recent Advances in Score-based Generative Models
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 diffusion models and 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 diffusion processes in Hilbert space.
