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Speaker: Andrea Bertozzi The Third Biannual Duke Workshop on Sensing and Analysis of High Dimensional Data (SAHD) "Symmetry, as wide or narrow as you may define its meaning, is one idea by which man through the ages has tried to comprehend ... The talk was organized by the EPFL AI Center, as part of our AI Fundamentals series. Title The Algebraic The proliferation of 3D representations, from explicit meshes to implicit neural fields and more, motivates the need for simulators ...
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Michael Bronstein - Geometric Deep Learning | MLSS Kraków 2023
Machine Learning Meets Geometry
All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics
Kathlen Kohn - The Geometry of Neural Networks
Geometric methods in image processing networks, and machine learning
The Geometric Deep Learning Blueprint — Michael Bronstein
EPFL AI Center - "The Algebraic Geometry of Deep Learning" - Dr. Giovanni Marchetti
Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation | NVIDIA Research
GEOMETRIC MODELS ML(Lecture 7)
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Last Updated: June 13, 2026
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