Start date cannot be after end date.
Can we design deep learning models that are inherently interpretable?
Presenter
- Cynthia Rudin
April 11, 2021
ICERM
Fair and Interpretable Decision Rules for Binary Classification
Presenter
- Oktay Gunluk
February 22, 2021
IPAM
Towards Assurance-based Learning-enabled Cyber-Physical Systems
Presenter
- Gabor Karsai
October 30, 2020
IPAM
From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds
Presenter
- Nicolas Garcia Trillos
April 24, 2020
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
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
TensorMol 0.0 a Package for Statistical Models of Molecular Structure
Presenter
- John Parkhill
December 8, 2016
IPAM
