CAD Seminar Series: Tze-Chien Sun - Kolmogorov-Arnold Networks
When:
April 23, 2025
2:30 p.m. to 3:30 p.m.
2:30 p.m. to 3:30 p.m.
Where:
Event category:
Seminar
Hybrid
Speaker: Tze-Chien Sun, Mathematics, WSU
Time: Wednesday, April 23, from 2:30 pm to 3:30 pm
Location for in-person participants: 1146 FAB
Zoom link for online audience: https://wayne-edu.zoom.us/j/92845590121?pwd=CpRA5Wa5gzSMn2xiVkR2abD83O5nrH.1
Title: Kolmogorov-Arnold Networks
Abstract: Lately, the paper "KAN: Kolmogorov-Arnold Networks" by Ziming Liu and seven other authors stirs a lot of interests, both praises and skepticisms. The Kolmogorov-Arnold Theorem roughly says that a continuous function of several variables can be written as compositions of continuous functions of one variable. They use a repeated version of this Theorem and make it into a deep layer network. They claim that it has better interpretability and easier interaction with users than the widely used Neural Networks. I will give you a brief introduction to this new method and let you decide whether it is really useful.
Bio: Tze-Chien Sun is a Professor Emeritus in the Department of Mathematics at Wayne State University. His research interests include probability theory, time series analysis, and, more recently, deep learning.
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CAD Seminar Series: Advancing Knowledge, Innovation, and Collaboration in Computation, AI, and Data Science (CAD)
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