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SUMMARY:From Diffusion Models to Schrödinger Bridges - Professor Arnaud D
 oucet\, University of Oxford 
DTSTART:20250320T130000Z
DTEND:20250320T140000Z
UID:TALK228439@talks.cam.ac.uk
CONTACT:Kimberly Cole
DESCRIPTION:Diffusion models have revolutionized generative modeling. Conc
 eptually\, these methods define a transport mechanism from a noise distrib
 ution to a data distribution. Recent advancements have extended this frame
 work to define transport maps between arbitrary distributions\, significan
 tly expanding the potential for unpaired data translation. However\, exist
 ing methods often fail to approximate optimal transport maps\, which are t
 heoretically known to possess advantageous properties. In this talk\, we w
 ill show how one can modify current methodologies to compute Schrödinger 
 bridges—an entropy-regularized variant of dynamic optimal transport. We 
 will demonstrate this methodology on a variety of unpaired data translatio
 n tasks.
LOCATION:Department of Engineering - LT1
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