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SUMMARY:CIS/IDEAS Seminar: "Flow matching and optimal transport with applications to cell trajectories and protein design"
DESCRIPTION:ABSTRACT: \nFlow matching models learn a (possibly stochastic) mapping between source and target distributions. Common paradigms include diffusion models\, score matching models\, and continuous normalizing flows. In this talk I will first present methods for improved training of flow matching models using ideas from optimal transport. I will then show how these improved methods can be applied to the tasks of (1) modeling  cell dynamics\, which allow us to better understand disease programs – leading to a new potential therapeutic pathway for triple-negative breast cancer and (2) generative protein design\, with applications to biologic drug discovery. \n  \nZOOM LINK: https://upenn.zoom.us/j/94916924500
URL:https://seasevents.nmsdev7.com/event/cis-ideas-seminar-alexander-tong-mila-quebec-ai-institute-universite-de-montreal/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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