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DTSTAMP:20240909T160737
DTSTART;TZID=America/Detroit:20240919T150000
DTEND;TZID=America/Detroit:20240919T160000
SUMMARY:Workshop / Seminar:IOE 899: Generative diffusion models: optimization\, generalization\, and fine-tuning
DESCRIPTION:About the speaker: Renyuan Xu is an assistant professor at the Department of Finance and Risk Engineering at New York University. Previously\, she was an assistant professor at the University of Southern California and a Hooke Research Fellow at the University of Oxford. She completed her Ph.D. from UC Berkeley in 2019.\nHer research interests include stochastic analysis\, stochastic controls and games\, machine learning theory\, and mathematical finance. She received an NSF CAREER Award in 2024\, the SIAM Financial Mathematics and Engineering Early Career Award in 2023\, and a JP Morgan AI Faculty Research Award in 2022.\n\nAbstract: Generative diffusion models\, which transform noise into new data instances by reversing a Markov diffusion process in time\, have become a cornerstone of modern generative models. Notable successful applications include image generation (e.g.\, DALL-E 2 by OpenAI)\, audio synthesis (DiffWave and Grad-TTS)\, and financial time series forecasting (TimeGrad).\nA key component of these models is learning the associated Stein's score function. While the practical success of diffusion models is widely recognized\, the theoretical underpinnings are still in development. In particular\, it remains unclear whether gradient-based algorithms can learn the score function with provable accuracy. In this talk\, I will present a suite of non-asymptotic theory aimed at understanding the data generation process in diffusion models and the accuracy of score estimation. Our analysis addresses both the optimization and generalization aspects of the learning process\, establishing a novel connection to supervised learning and neural tangent kernels. If time permits\, I will also share recent results on fine-tuning diffusion models from a stochastic control perspective.\nThis talk is based on joint work with Yinbin Han (NYU) and Meisam Razaviyayn (USC).
UID:126049-21856457@events.umich.edu
URL:https://events.umich.edu/event/126049
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:seminar,Michigan Engineering,Industrial And Operations Engineering
LOCATION:Industrial and Operations Engineering Building - 1680
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240905T135403
DTSTART;TZID=America/Detroit:20240919T150000
DTEND;TZID=America/Detroit:20240919T170000
SUMMARY:Fair / Festival:So Cool\, So Just Fair
DESCRIPTION:Want to create change in your community but don't know where to start? The So Cool\, So Just Fair is an opportunity for students to explore campus organizations dedicated to creating change and a recruitment opportunity for campus organizations. Interested student organizations and departments\, we invite you to table at this event\, and all students are welcome to come grab a cookie and connect! \n\nThe fair will be on Thursday\, September 19th\, from 3-5 pm\, on the Diag. Tables will be provided for student organizations and departments to table during this time. We hope to see you there!
UID:124933-21854087@events.umich.edu
URL:https://events.umich.edu/event/124933
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Activism,Community,Community Engagement,Community Organzing,Community Service,Diversity Equity and Inclusion,Ginsberg Center,Inclusion,Social Change,Social Impact,Social Justice,Social Work,Sociology,Undergraduate,Civic Engagement
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240905T154556
DTSTART;TZID=America/Detroit:20240919T150000
DTEND;TZID=America/Detroit:20240919T160000
SUMMARY:Auditions:test tag
DESCRIPTION:dfbdsbesgevfdfg
UID:125873-21856197@events.umich.edu
URL:https://events.umich.edu/event/125873
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Culture
LOCATION:Student Activities Building
CONTACT:
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