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SUMMARY:From Stochastic Interpolants to Flow Maps: Foundations\, Fast Gene
 ration\, and Applications to Weather & Climate Modeling - Abbas Mammadov (
 University of Oxford)
DTSTART:20260324T150000Z
DTEND:20260324T163000Z
UID:TALK246022@talks.cam.ac.uk
CONTACT:Xianda Sun
DESCRIPTION:Stochastic interpolants unify flow-based and diffusion-based g
 enerative models under a single framework\, yielding both ODE and SDE samp
 lers from one trained model. We will cover the foundations of this framewo
 rk and then introduce flow map matching - a method for learning the soluti
 on operator of the generative dynamics\, enabling one-step to few-step gen
 eration with a 10-20x inference speedup. We will survey large-scale applic
 ations to probabilistic weather forecasting\, including systems that outpe
 rform GenCast. We will then see Meta Flow Maps and Variational Flow Maps -
  two recent approaches for guidance and solving inverse problems using flo
 w maps - and discuss open problems for weather and climate modeling.\n\nRe
 commended reading:\n\nhttps://arxiv.org/abs/2303.08797\n\n\nAdditional rea
 ding:\n\nhttps://arxiv.org/abs/2406.07507\nhttps://arxiv.org/abs/2505.1882
 5
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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