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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
Tensor-train decomposition and its applications in machine learning
Presenter
- Ivan Oseledets
April 21, 2021
IPAM
Contrastive Learning, multi-view redundancy, and linear models
Presenter
- Daniel Hsu
April 12, 2021
IMSI
Robust regression with covariate filtering: Heavy tails and adversarial contamination
Presenter
- Po-Ling Loh
April 12, 2021
IMSI
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
