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
- February1412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Mainstream artificial neural network models, such as Deep Neural Networks (DNNs) are computation-heavy and energy-hungry. Weightless Neural…
- February712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Reinforcement Learning from Human Feedback (RLHF) has become the predominant method for aligning large language models (LLMs) to be...
- January3112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We pose a fundamental question in computational learning theory: can we efficiently test whether a training set satisfies the...
- December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
- December101:30 - 4 pmEvent Details
One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...
- December612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like…
