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Characterizing Spatio-temporal Complexity in Fluid Flow Using Computational Homology
Presenter
- Michael Schatz
February 11, 2014
IMA
Adaptive methods and neural ODEs in machine learning
Presenter
- Michael Hintermüller
April 13, 2026
ICERM
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
Introductory Workshop: Topological and Geometric Structures in Low Dimensions & Geometry and Dynamics for Discrete Subgroups of Higher Rank Lie Groups: Flows and Thurston’s norm: Fibered faces
Presenter
- Michael Landry
January 29, 2026
SLMath