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An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
April 10, 2021
ICERM
A rigorous and robust quantum speed-up in supervised machine learning
Presenter
- Kristan Temme
February 9, 2021
IPAM
Operator-split reduced order models for problems with moving interfaces
Presenter
- George Biros
April 24, 2020
ICERM
Structured Autoencoders for Operator-theoretic decomposition and Model reduction of Spatio-temporal dynamics
Presenter
- Karthik Duraisamy
March 25, 2020
ICERM
Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction
Presenter
- Jong Chul Ye
January 28, 2020
IPAM
Deep learning as a toy model of the 1/N-expansion and renormalization
Presenter
- Daniel Roberts
November 20, 2019
IPAM
Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning
Presenter
- Marina Meila
October 31, 2019
IPAM