research
∙
07/14/2023
Energy stable and conservative dynamical low-rank approximation for the Su-Olson problem
Computational methods for thermal radiative transfer problems exhibit hi...
share
research
∙
05/30/2023
Rank-adaptive spectral pruning of convolutional layers during training
The computing cost and memory demand of deep learning pipelines have gro...
research
∙
04/12/2023
A parallel rank-adaptive integrator for dynamical low-rank approximation
This work introduces a parallel and rank-adaptive matrix integrator for ...
research
∙
02/02/2023
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank
Geophysical flow simulations using hyperbolic shallow water moment equat...
research
∙
12/22/2022
Asymptotic–preserving and energy stable dynamical low-rank approximation
Radiation transport problems are posed in a high-dimensional phase space...
research
∙
05/26/2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Neural networks have achieved tremendous success in a large variety of a...
research
∙
05/12/2022
KiT-RT: An extendable framework for radiative transfer and therapy
In this paper we present KiT-RT (Kinetic Transport Solver for Radiation ...
research
∙
01/06/2022
A low-rank power iteration scheme for neutron transport criticality problems
Computing effective eigenvalues for neutron transport often requires a f...
research
∙
11/13/2021
A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy
Deterministic models for radiation transport describe the density of rad...
research
∙
07/15/2021
On the stability of robust dynamical low-rank approximations for hyperbolic problems
The dynamical low-rank approximation (DLRA) is used to treat high-dimens...
research
∙
05/16/2021
A Realizable Filtered Intrusive Polynomial Moment Method
Intrusive uncertainty quantification methods for hyperbolic problems exh...
research
∙
05/10/2021
Dynamical low-rank approximation for Burgers' equation with uncertainty
Quantifying uncertainties in hyperbolic equations is a source of several...
research
∙
04/12/2021
A rank-adaptive robust integrator for dynamical low-rank approximation
A rank-adaptive integrator for the dynamical low-rank approximation of m...
research
∙
08/18/2020
Oscillation Mitigation of Hyperbolicity-Preserving Intrusive Uncertainty Quantification Methods for Systems of Conservation Laws
In this article we study intrusive uncertainty quantification schemes fo...
research
∙
12/19/2019
Intrusive acceleration strategies for Uncertainty Quantification for hyperbolic systems of conservation laws
Methods for quantifying the effects of uncertainties in hyperbolic probl...
research
∙
11/20/2019