
IFML Seminar
IFML Seminar: 04/18/25 - Learning to Solve Imaging Inverse Problems without Ground Truth
Abstract: Ill-posed inverse problems appear in many critical scientific imaging scenarios where the goal is to reconstruct cleaner images faster from fewer measurements. While deep learning methods reconstruct high quality images quickly, they require...
Upcoming Events
- April1812:15 - 1:15pm
IFML Seminar
Abstract: Ill-posed inverse problems appear in many critical scientific imaging scenarios where the goal is to reconstruct cleaner images faster...
- April2512:15 - 1:15pm
IFML Seminar
Abstract : In the literature on benign overfitting in linear models, also referred to as minimum norm interpolation, it is...
Past Events
- September612:15 - 1 pm
IFML Seminar
Abstract: From the moment we open our eyes, we are surrounded by people. By observing the people around us, we...
- August2312:15 - 1 pm
IFML Seminar
Abstract: Distribution shifts, where deployment conditions differ from the training environment, are pervasive in real-world AI applications and often…
- August5All day
IFML Director Adam Klivans and IFML Co-director Alex Dimakis discuss DataComp , UT Austin's new Center for Generative AI, and...
- July21throughJuly26
IFML has partnered with UT Computer Science Summer Academies to launch the Academy for Machine Learning
- May312:15 - 1 pm
IFML Seminar
Abstract: 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
Abstract: AI has become all-encompassing in our society, it touches every technological aspect of our life, yet there is still...