IFML Seminar
IFML Seminar: 10/24/25 - Learning from Many Trajectories
Abstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental understanding of sequential learning remains incomplete, particularly in the multi-trajectory setting where data consists...
Upcoming Events
- October2412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
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...
