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Variational approximation of dynamical systems using machine learning
Presenter
- Frank Noé
February 11, 2019
IPAM
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Presenter
- Anuj Karpatne
November 9, 2018
IPAM
Communication-Avoiding Algorithms for Linear Algebra, Machine Learning, and Beyond
Presenter
- James Demmel
October 18, 2018
IPAM
Retrieving (3D) atomic structure from transmission electron microscopy data: a family of inverse problems
Presenter
- Christoph Koch
October 16, 2018
IPAM
Hot Topics: Shape and Structure Of Materials - Applications of convnets to microstructural description and material design
Presenter
- Daniela Ushizima
October 1, 2018
SLMath
Deep Learning-Based Numerical Methods for High-Dimensional Stochastic Control Problems and Parabolic PDEs
Presenter
- Jiequn Han
May 9, 2018
IMA
Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Presenter
- Brian Reich
April 25, 2018
IMA
Understanding and predicting physiological resistance with simulation and topological analysis
Presenter
- Drew Pruett
March 7, 2018
IMA
Deep functional maps: intrinsic structured prediction for dense shape correspondence
Presenter
- Michael Bronstein
February 9, 2018
IPAM
New Techniques in Optimization and Their Applications to Deep Learning and Related Inverse Problems
Presenter
- Stanley Osher
February 8, 2018
IPAM
