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Neural SDEs: Deep Generative Models in the Diffusion Limit
Presenter
- Maxim Raginsky
May 19, 2020
IAS
New deep neural networks solving non-linear inverse problems
Presenter
- Matti Lassas
April 20, 2020
IPAM
Understanding deep networks and its role played in prioritized search
Presenter
- Yuandong Tian
November 7, 2019
IAS
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond
Presenter
- Bin Dong
May 1, 2019
IPAM
Geometric deep learning for 3D shape analysis (Part 2/2)
Presenter
- MIchael Bronstein
March 12, 2019
IPAM
Geometric deep learning for 3D shape analysis (Part 1/2)
Presenter
- Michael Bronstein
March 12, 2019
IPAM