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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA Thursday Machine Learning Applications Seminar Introduce Diffussion Models to the Fans of Machine Learning
Introduce Diffussion Models to the Fans of Machine Learning
Organizers
Xiao Pei Jiao , Fan Sheng Xiong , Wu Yue Yang
Speaker
Cong Wei Song
Time
Thursday, June 8, 2023 3:30 PM - 5:00 PM
Venue
A3-2a-201
Online
Zoom 518 868 7656 (BIMSA)
Abstract
Diffusion models have emerged as the new state-of-the-art family of deep generative models. They are designed to generate high-quality images by iteratively refining a random noise input; They outperforms many classic sota models in terms of performance; Several improved versions are also emerging, such as consistency models. The purpose of this report is to let people quickly understand the principle, the relation with other models, and stimulate the research interest. At the same time, several classical papers are interpreted, and the application of the API of TensorFlow implementation of diffusion models is demonstrated. Hopefully diffusion models will help you solve the problem.
Speaker Intro
Congwei Song received the master degree in applied mathematics from the Institute of Science in Zhejiang University of Technology, and the Ph.D. degree in basic mathematics from the Department of Mathematics, Zhejiang University, worked in Zhijiang College of Zhejiang University of Technology as an assistant from 2014 to 2021, from 2021 on, worked in BIMSA as asistant researcher. His research interests include machine learning, as well as wavelet analysis and harmonic analysis.
Beijing Institute of Mathematical Sciences and Applications
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