The DIMACS Workshop on Modeling Randomness in Neural Network Training: Mathematical, Statistical, and Numerical Guarantees will be held at the DIMACS Center at Rutgers University from June 5-7, 2024. The central question of this workshop is: what can random matrix theory tell us about neural networks, modern machine learning, and AI?

One goal of the workshop will be to create bridges between the different mathematical and computational communities by bringing together researchers with a diverse set of perspectives on neural networks. Topics of interest include:

• understanding matrix-valued random processes that arise during NN training,
• modeling/measuring uncertainty and designing estimators for training processes,
• applications to these designs within optimization algorithms.

Call for participation

Register here!

• DIMACS has set up a website for the workshop as well.
• If you are interested in presenting a poster and/or you want to request support for travel, please let us know via our web form.