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Geometric deep learning for 3D shape analysis (Part 2/2)
Presenter
- MIchael Bronstein
March 12, 2019
IPAM
Geometric deep learning for 3D shape analysis (Part 1/2)
Presenter
- Michael Bronstein
March 12, 2019
IPAM
Deep functional maps: intrinsic structured prediction for dense shape correspondence
Presenter
- Michael Bronstein
February 9, 2018
IPAM
Deep learning on geometric data with intrinsic convolutional neural networks
Presenter
- Michael Bronstein
February 9, 2016
IPAM
Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis
Presenter
- Michael Perlmutter
February 26, 2026
IPAM
Michael Beverland - Real-time decoding for fault-tolerant quantum computers - IPAM at UCLA
Presenter
- Michael Beverland
February 19, 2026
IPAM
Michael Fischer - Machine Learning Approach to Estimate 3-D Tropical Cyclone Kinematic Structure
Presenter
- Michael Fischer
February 4, 2026
IPAM
Recent Developments in RandNLA: Random Matrix Theory for Modern Machine Learning?
Presenter
- Michael Mahoney
February 2, 2026
ICERM
Michael Ghil - Global warming & global weirding: Nonautonomous dynamics for chaotic & noisy systems
Presenter
- Michael Ghil
February 2, 2026
IPAM
