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PAC-Bayesian approaches to understanding generalization in deep learning
Presenter
- Karolina Dziugaite Roy
October 15, 2019
IAS
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
Learning molecular model from simulation and experimental data
Presenter
- Cecilia Clementi
October 14, 2019
IPAM