Learning Manifold and dimensionality reduction in Deep and Geometric Learning

Rita Fioresi (U Bologna)

Feb 05. 2025, 15:30 — 16:30

We discuss the manifold structure of the data space for popular datasets and we give some ideas from geometry and physics on how to perform dimensionality reduction, both in Deep Learning and Geometric Deep Learning

Further Information
Venue:
ESI Boltzmann Lecture Hall
Recordings:
Recording
Associated Event:
Infinite-dimensional Geometry: Theory and Applications (Thematic Programme)
Organizer(s):
Tomasz Goliński (U of Białystok)
Gabriel Larotonda (U of Buenos Aires)
Alice Barbara Tumpach (WPI, Vienna)
Cornelia Vizman (WU of Timisoara)