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Controlling regularized conservation laws: Entropy-entropy flux pairs
Presenter
- Wuchen Li
May 11, 2023
ICERM
Triangular transport for learning probabilistic graphical models
Presenter
- Rebecca Morrison
May 11, 2023
ICERM
Lipschitz regularized gradient flows and latent generative particles
Presenter
- Panagiota Birmpa
May 12, 2023
ICERM
Signed Cumulative Distribution Transform for Machine Learning
Presenter
- Sumati Thareja
May 8, 2023
ICERM
Function-space regularized divergences for machine learning applications
Presenter
- Ioannis (Yannis) Pantazis
May 11, 2023
ICERM
GEOMETRIC AND TOPOLOGICAL APPROACHES TO REPRESENTATION LEARNING IN BIOMEDICAL DATA
Presenter
- Smita Krishnaswamy
December 16, 2021
ICERM
A Machine Learning Framework for Optimal Transport of High-Dimensional Densities
Presenter
- Lars Ruthotto
January 27, 2020
IPAM
Geometric and Topological Approaches to Representation Learning in Biomedical Data
Presenter
- Smita Krishnaswamy
August 31, 2021
IMSI
Persistent Homology Analysis (PHA) of Big Data in Biomolecules
Presenter
- Kelin Xia
September 28, 2015
MBI
Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM