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Solving high dimensional HJ equations using generalized Hopf-Lax formulas vs using Machine Learning
Presenters
- Stanley Osher
- Samy Wu Fung
April 1, 2020
IPAM
Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM
Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis
Presenter
- Lukas Pospisil
November 1, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning
Presenter
- Marina Meila
October 31, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting
Presenter
- Adam Kalai
March 21, 2019
ICERM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2)
Presenter
- David Xianfeng Gu
March 13, 2019
IPAM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2)
Presenter
- David Xianfeng Gu
March 13, 2019
IPAM
Scalable Algorithms in the Age of Big Data and Network Sciences
Presenter
- Shang-Hua Teng
November 29, 2018
IPAM
Communication-Avoiding Algorithms for Linear Algebra, Machine Learning, and Beyond
Presenter
- James Demmel
October 18, 2018
IPAM