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Towards multilevel training algorithms: Applying scientific computing perspectives to neural networks
Presenter
- Eric Cyr
April 16, 2026
ICERM
Enforcing Structure in Scientific Machine Learning for Computational Decision Support & Digital Twins
Presenter
- Karthik Duraisamy
March 23, 2024
ICERM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM
Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers
Presenter
- Wenjing Liao
July 14, 2025
IPAM
David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA
Presenter
- David Bortz
October 7, 2025
IPAM
Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators
Presenter
- Siting Liu
July 15, 2025
IPAM
Model-free approaches to controlling neuronal circuits
Presenter
- ShiNung Ching
September 14, 2017
MBI
Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery
Presenter
- Rebecca Willett
June 8, 2023
IMSI