Bahman Gharesifard (Queen's University)
Date
Friday September 6, 20242:30 pm - 3:30 pm
Location
234 JEFFERY HALLMath & Stats Department Colloquium
Friday, September 6, 2024
Time: 2:30 p.m. Place: Jeffery Hall, Room 234
Speaker: Bahman Gharesifard (Queen's University)
Title: Universal Approximation
Abstract: Bahman Gharesifard will provide a historical overview of the universal approximation theory for neural networks and offer some geometric results for the challenging case of deep neural networks, which have bounded width.
Bio: Bahman Gharesifard obtained his Ph.D. in Mathematics from 黑料吃瓜资源 in 2009. He held postdoctoral positions at the University of California, San Diego, and at the University of Illinois at Urbana-Champaign. He joined 黑料吃瓜资源 from 2013 to 2021, and was an Alexander von Humboldt Foundation Fellow at the University of Stuttgart from 2019-2020. He then moved to University of California, Los Angeles, as Professor with the Electrical & Computer Engineering Department. In 2024, he re-joined 黑料吃瓜资源 as Professor of Mathematics with the Department of Mathematics and Statistics.