报告题目： Loss surfaces of neural networks and random matrix theory.

报 告 人： Joseph Najnudel教授 University of Bristol

报告时间： 2023年6月24日 9：00-10：00

报告地点： 数学楼第二报告厅

校内联系人：韩月才 hanyc@jlu.edu.cn

报告摘要：In this talk, based on joint work with Baskerville, Keating and Mezzadri, we study the link between universal properties of random matrices and some kind of neural networks, in particular with respect to the behavior of the critical points of their loss functions, and the corresponding Hessian matrices.

报告人简介：Joseph Najnudel obtained his Ph.D. from the Université Paris VI in 2007. He is currently a Associate Professor at the University of Bristol, UK. His major research interests lie in random unitary matrices (in particular the Circular Unitary Ensemble), random permutation matrices and related infinite-dimensional limiting objects, link between random matrix theory and number theory, link between random matrix theory and mathematical physics，limiting measures constructed by modifying the Brownian motion or more general stochastic processes and the Brownian local times and polymer models.