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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
Graph Convolutional Neural Networks for Molecule Generation
Presenter
- Xavier Bresson
September 23, 2019
IPAM
Special Guest Lecture: Attacking the Curse of Dimensionality, Martin Mohlenkamp
September 11, 2019
SAMSI
Graph Convolutional Neural Networks for Molecule Generation and Travelling Salesman Problem
Presenter
- Xavier Bresson
May 21, 2019
IPAM