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
- December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
- December101:30 - 4 pmEvent Details
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...
- December612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like…
- December45:30 - 8 pm
Public Lecture
Event DetailsPublic event hosted by IBM, the Austin AI Alliance, and the Global AI Alliance (co-founded by IBM). Our Deep Proteins...
- November1512:15 - 1:15pm
IFML Seminar
Event DetailsSpeaker Bio: Zak Mhammedi is a Research Scientist at Google Research , focusing on reinforcement learning and optimization. He completed...
- November13throughNovember15Event Details
Join us for UT Austin’s Year of AI celebration as we showcase the best ideas, innovations and inspiration in the...
