Start date cannot be after end date.
Understanding Deep Neural Networks: From Generalization to Interpretability
Presenter
- Gitta Kutyniok
March 5, 2020
IAS
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
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
Novel Technologies for Artificial Intelligence: prospects and challenges
Presenter
- Stefano Ambrogio
November 29, 2018
IPAM
Machine learning: from genetics to gene editing to protein optimization
Presenter
- Jennifer Listgarten
November 8, 2018
IPAM
Percolation of sign clusters for the Gaussian free field II
Presenter
- Pierre-Francois Rodriguez
May 11, 2018
IAS
Percolation of sign clusters for the Gaussian free field I
Presenter
- Pierre-Francois Rodriguez
May 10, 2018
IAS
Deep functional maps: intrinsic structured prediction for dense shape correspondence
Presenter
- Michael Bronstein
February 9, 2018
IPAM