Universality and Dynamics
in High-Dimensional Learning and Inference
| Home | Call for Papers | Program | Plenary Speakers |
We invite submissions to the Universality and Dynamics in High-Dimensional Learning and Inference Workshop at ISIT 2026. This workshop aims to bring together researchers from information theory, machine learning, high-dimensional statistics, random matrix theory, and statistical physics to develop a unified view of recent theoretical advances in high-dimensional learning and inference.
For detailed information on submission guidelines, important dates, topics of interest, travel grants, and awards, please refer to the official Call for Papers document below.
Download Call for Papers (PDF)Page views: | Visitors: