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Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction
Presenter
- Jong Chul Ye
January 28, 2020
IPAM
Deep Learning and Modeling: Taking the Best out of Both Worlds
Presenter
- Gitta Kutyniok
January 28, 2020
IPAM
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
IPAM
Representation and regression problems for molecular structure and dynamics
Presenter
- Gabor Csanyi
November 22, 2019
IPAM
Innovating machine learning with near-term quantum computing
Presenter
- Maria Schuld
November 20, 2019
IPAM
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM
Universal Probabilistic Programming in Simulators
Presenter
- Atilim Gunes Baydin
October 15, 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
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
