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Structured Autoencoders for Operator-theoretic decomposition and Model reduction of Spatio-temporal dynamics
Presenter
- Karthik Duraisamy
March 25, 2020
ICERM
Personalized Page Generation using Data, Science, and Algorithms
Presenter
- Justin Basilico
July 30, 2015
ICERM
FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology
Presenter
- Po-Wen Chang
May 20, 2025
IMSI
Verification and Validation for Trustworthy Scientific Machine Learning
Presenter
- Lorena A.
March 4, 2025
IMSI
Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys
Presenter
- Anjana Talapatra
May 16, 2024
IMSI
Multiscale and Data-driven Methods for the Simulation of Materials Failure
Presenter
- James Kermode
April 11, 2024
IMSI
When big networks are not enough: physics, multifidelity and kernels
Presenter
- Panos Stinis
March 24, 2024
ICERM
Signed Cumulative Distribution Transform for Machine Learning
Presenter
- Sumati Thareja
May 8, 2023
ICERM
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions
Presenter
- Stefanie Jegelka
April 26, 2023
ICERM
Machine learning for actionable, interpretable marker selection in -omics studies
Presenter
- Bianca Dumitrascu
September 3, 2021
IMSI