IFML Seminar
IFML Seminar: 04/10/26 - High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression
Abstract: Sparse recovery, i.e., estimating a sparse signal theta* in R^d from few noisy measurements y = Xtheta* + xi, is a central problem in high-dimensional statistics. Recent works [KSTZ25, MW26] have taken an...
Upcoming Events
- April1012:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Sparse recovery, i.e., estimating a sparse signal theta* in R^d from few noisy measurements y = Xtheta* + xi...
- 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
- July21throughJuly26Event Details
IFML has partnered with UT Computer Science Summer Academies to launch the Academy for Machine Learning
- May312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: In this talk, I will recount the developmental trajectory of video generation models at Picsart AI Research over the...
- April2612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: AI has become all-encompassing in our society, it touches every technological aspect of our life, yet there is still...
- April251 - 2 pmEvent Details
Abstract: Fast and robust recovery of images from a deluge of incomplete and noisy data is now within reach for...
- April18throughApril19Event Details
Join us for a two-day workshop celebrating the launch of the new CENTER FOR GENERATIVE AI and featuring research experts...
- April1212:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The first step to understand non-linear models in machine learning is the study of generalized linear models that include...
