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Overcoming the curse of dimensionality for some Hamilton-Jacobi partial differential equations via neural network architectures
Presenter
- Jerome Darbon
April 1, 2020
IPAM
High-Dimensional HJBs: Mean-Field Limits and McKean-Vlasov Equations
Presenter
- Gang Yin
March 31, 2020
IPAM
Learning optimal strategies for line-of-sight based games
Presenter
- Richard Tsai
March 31, 2020
IPAM
Multiscale mathematical approaches for translational mental health benefits
Presenter
- Michael Bonsall
February 21, 2020
IPAM
Scaling the Hierarchical Topic Modeling Mountain: Neural NMF and Iterative Projection Methods
Presenter
- Jamie Haddock
January 29, 2020
IPAM
A Machine Learning Framework for Optimal Transport of High-Dimensional Densities
Presenter
- Lars Ruthotto
January 27, 2020
IPAM
Bending admissible continuum approximation for monolayered 2D materials
Presenter
- Xingjie Li
January 14, 2020
IPAM
Relaxation of incommensurate bi- and trilayer heterostructures and networks of domain walls
Presenter
- Paul Cazeaux
January 13, 2020
IPAM
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification
Presenter
- Matthias Rupp
November 21, 2019
IPAM
An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
October 30, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM
Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming
Presenter
- Stephan Hoyer
October 18, 2019
IPAM