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Integrating de novo protein biochemistry and metagenomics to tease apart evolutionary processes acting on environmental microbial populations
Presenter
- A. Murat Eren
January 23, 2020
IPAM
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 2/2)
Presenter
- Lars Ruthotto
September 10, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 1/2)
Presenter
- Lars Ruthotto
September 9, 2019
IPAM
Non-local macroscopic models accounting for the presence of autonomous vehicles
Presenter
- Paola Goatin
February 27, 2019
IPAM
System software and architecture assist for application-directed data views
Presenter
- Maya Gokhale
November 26, 2018
IPAM
Retrieving (3D) atomic structure from transmission electron microscopy data: a family of inverse problems
Presenter
- Christoph Koch
October 16, 2018
IPAM
Low-rank tensor methods for simulation, optimization and uncertainty quantification of parametric PDEs
Presenter
- Peter Benner
October 15, 2018
IPAM