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We invite submissions to the Universality and Dynamics in High-Dimensional Learning and Inference Workshop at ISIT 2026. The workshop brings together researchers in information theory, machine learning, high-dimensional statistics, random matrix theory, and statistical physics to develop a unified view of recent advances in high-dimensional learning and inference.
Join us in Guangzhou for a full-day workshop on Universality and Dynamics in High-Dimensional Learning and Inference at ISIT 2026.
We also welcome poster presentations without a formal paper submission. Poster-only submissions will not be included in the proceedings.
To have your work included in the ISIT 2026 workshop proceedings, please submit your paper through the official EDAS submission system below. Papers submitted through this route will be reviewed and, if accepted, will appear in the official proceedings.
Submission format: manuscripts should not exceed 5 pages, plus an optional 6th page containing references only.
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