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Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D
Presenter
- Michael Heroux
January 14, 2011
IMA
Non-commutative harmonic analysis in machine learning
Presenter
- Risi Kondor
December 15, 2008
SLMath
Adaptive methods and neural ODEs in machine learning
Presenter
- Michael Hintermüller
April 13, 2026
ICERM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
An overview of hybrid physics/machine learning modelling at Michelin: from rubber manufacturing simulation to real-time tire performance prediction opportunities
Presenter
- Raphael Meunier
December 1, 2025
IMSI
Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA
Presenter
- Roman Grigoriev
October 10, 2025
IPAM
Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics
Presenter
- Hang Lu
July 28, 2025
ICERM
Recent Advances in Probabilistic Scientific Machine Learning for Chaotic Dynamical Systems
Presenter
- Leonardo Zepeda-Nu\u0301n\u0303ez
June 13, 2025
IMSI
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology
Presenter
- Po-Wen Chang
May 20, 2025
IMSI