IFML Seminar
IFML Seminar: 08/28/26 - Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using Preconditioned Langevin Sampling
Abstract: The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high-quality MRI reconstructions with uncertainty quantification from highly undersampled k-space data. However, sampling methods such as diffusion posterior sampling (DPS) and...
Upcoming Events
- August2812:30 - 1:30pm
IFML Seminar
Event DetailsAbstract: The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high-quality MRI reconstructions with uncertainty…
Past Events
- January262 - 4 pmEvent Details
Connecting undergraduate and graduate students with machine learning research opportunities across campus.
- January25All dayEvent Details
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world...
- January1912:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Parameter-free optimization studies algorithms that adapt to the problem structure at hand. Specifically, such algorithms are capable of converging…
- December812:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The ever-increasing penetration of level-2 autonomous vehicles (AVs) offers an opportunity to reshape the energy efficiency and throughput of...
- November29throughDecember1
Workshop
Event DetailsJoin us for a three-day IFML Workshop that offers perspectives on Generative AI from leading researchers across academia and industry...
- November1712:15 - 1 pm
IFML Seminar
Event DetailsAbstract: In this talk, we will present a recent result that if a Boolean function exhibits a sharp threshold at...
