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Event Information:
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Wed09Oct2024
SC Seminar: Hans Hagen
11:00Hybrid (Room 32-349 and via Zoom)
Prof. Hans Hagen, Geometric Modeling Group, RPTU
Title: Non-Standard Metrics for Machine Learning
Abstract:
Euclidean Metrics and L2-Norms are the dominating standards
— . BUT are they good enough in all applications ?—-
I do not think so. Finslertyp metrics , which deal with point locations and directions show a lot of promise of being influential in important research areas.
The Lagrange Multiplier technique is a very powerfull tool assuming the “right energy functionals”.
What about energy functionals depending on non – standard metrics for GANs ( Generative Adversal Networks) ??
This would open the door for using Lagrange Multipliers.
To start a constructive and critical discussion is the goal of this talk .How to join online
You can join online via Zoom, using the following link:
https://uni-kl-de.zoom.us/j/63123116305?pwd=Yko3WU9ZblpGR3lGUkVTV1kzMCtUUT09