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Graph neural networks for combinatorial optimization problems
Presenter
- Soledad Villar
November 21, 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
Hamiltonian Systems, From Topology To Applications Through Analysis II - Erratic behaviour for one-dimensional random walks in a generic quasi-periodic environment
Presenter
- Maria Saprykina
November 30, 2018
SLMath
Machine learning: from genetics to gene editing to protein optimization
Presenter
- Jennifer Listgarten
November 8, 2018
IPAM
Using Quantum Mechanical Devices to Perform Genomic Studies in Families: Challenges, Promises, Changes
Presenter
- Christopher Bartlett
September 17, 2018
MBI
Identifying robust cancer treatment protocols from small experimental datasets
Presenter
- Jana Gevertz
May 29, 2018
IMA
