IFML Seminar
IFML Seminar: 04/03/26 - Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
Abstract: In this work, we give a polynomial time and sample complexity algorithm for efficiently learning the parameters of a mixture of k spherical distributions in d dimensions. Our method succeeds whenever the component...
Upcoming Events
- April32 - 3 pm
IFML Seminar
Event DetailsAbstract: In this work, we give a polynomial time and sample complexity algorithm for efficiently learning the parameters of a...
- 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
- March2412:15 - 1 pm
IFML Seminar
Event DetailsAbstract: A brain-machine interface (BMII) is a system that enables users to interact with computers and robots through the voluntary...
- March312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Customer statistics collected in several real-world systems have reflected that users often prefer eliciting their liking for a given...
- February1012:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The activation function deployed in a deep neural network has great influence on the performance of the network at...
- February312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- 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...
