IFML Seminar
IFML Seminar: 04/17/26 - Learning and guidance approaches for generative and physics-driven models in computational MRI
Abstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, computational MRI techniques for reconstruction from sub-sampled noisy data have received great...
Upcoming Events
- April1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-…
Past Events
- January2711 am - 12 pmEvent Details
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
- January26All dayEvent Details
The University of Texas at Austin is launching a new online master’s program in AI with the potential to bring...
- January2012 - 1 pm
IFML Seminar
Event DetailsAbstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out a...
- November163 - 5 pmEvent Details
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
- November101 - 1:45pm
IFML Seminar
Event DetailsAbstract: This talk will first motivate and illustrate the use of margins as a way to interpret and analyze the...
- November412:15 - 1 pm
IFML Seminar
Event DetailsA central problem in machine learning is as follows: How should we train models using data generated from a collection...
