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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
Deep Geometric Matrix Completion: a Geometric Deep Learning approach to Recommender Systems
Presenter
- Federico Monti
February 7, 2018
IPAM
Public Lecture: AI Breakthroughs & Obstacles to Progress, Mathematical and Otherwise
Presenter
- Yann LeCun
February 6, 2018
IPAM