Jonas Kusch

Orcid: 0000-0002-2061-2114

According to our database1, Jonas Kusch authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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 approximation.
Adv. Comput. Math., August, 2024

Asymptotic-Preserving and Energy Stable Dynamical Low-Rank Approximation.
SIAM J. Numer. Anal., February, 2024

A Parallel Rank-Adaptive Integrator for Dynamical Low-Rank Approximation.
SIAM J. Sci. Comput., 2024

Energy Stable and Conservative Dynamical Low-Rank Approximation for the Su-Olson Problem.
SIAM J. Sci. Comput., 2024

GeoLoRA: Geometric integration for parameter efficient fine-tuning.
CoRR, 2024

Second-order robust parallel integrators for dynamical low-rank approximation.
CoRR, 2024

Asymptotic-preserving and energy stable dynamical low-rank approximation for thermal radiative transfer equations.
CoRR, 2024

A robust second-order low-rank BUG integrator based on the midpoint rule.
CoRR, 2024

2023
KiT-RT: An Extendable Framework for Radiative Transfer and Therapy.
ACM Trans. Math. Softw., December, 2023

A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws.
J. Sci. Comput., April, 2023

On the Stability of Robust Dynamical Low-Rank Approximations for Hyperbolic Problems.
SIAM J. Sci. Comput., February, 2023

Conservation properties of the augmented basis update & Galerkin integrator for kinetic problems.
CoRR, 2023

Rank-adaptive spectral pruning of convolutional layers during training.
CoRR, 2023

2022
A low-rank power iteration scheme for neutron transport criticality problems.
J. Comput. Phys., 2022

Oscillation mitigation of hyperbolicity-preserving intrusive uncertainty quantification methods for systems of conservation laws.
J. Comput. Appl. Math., 2022

A realizable filtered intrusive polynomial moment method.
J. Comput. Appl. Math., 2022

Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy.
CoRR, 2021

Dynamical low-rank approximation for Burgers' equation with uncertainty.
CoRR, 2021

A rank-adaptive robust integrator for dynamical low-rank approximation.
CoRR, 2021

2020
Realizability-preserving discretization strategies for hyperbolic and kinetic equations with uncertainty
PhD thesis, 2020

Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws.
J. Comput. Phys., 2020

Filtered stochastic Galerkin methods for hyperbolic equations.
J. Comput. Phys., 2020

2019
Ray effect mitigation for the discrete ordinates method through quadrature rotation.
J. Comput. Phys., 2019

Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering.
CoRR, 2019

2018
Miniaturisation of Photoacoustic Sensing Systems Using MEMS Transducer Arrays and MEMS Scanning Mirrors.
Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017
Effect of nanoparticle morphologies on signal strength in photoacoustic sensing.
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017


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