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Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Generative and variational modeling for quantum many-body physics
Presenter
- Giuseppe Carleo
September 27, 2019
IPAM
Likelihood free generative modeling for high energy physics
Presenter
- Benjamin Nachman
September 27, 2019
IPAM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Exploiting the 3D Geometry and the Structure of the World in Deep Learning
Presenter
- Ersin Yumer
May 24, 2019
IPAM
Structured embedding spaces for 3D shape completion and synthesis
Presenter
- Anastasia Dubrovina
May 3, 2019
IPAM