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Steffen Schotthöfer
Steffen Schotthöfer
Sonstige NamenSteffen Schotthoefer, Steffen Schotthofer
Householder Fellow, Oak Ridge National Laboratory
Bestätigte E-Mail-Adresse bei ornl.gov - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
S Schotthöfer, E Zangrando, J Kusch, G Ceruti, F Tudisco
Advances in Neural Information Processing Systems 35, 20051-20063, 2022
412022
A Numerical Comparison of Consensus‐Based Global Optimization to other Particle‐based Global Optimization Schemes
C Totzeck, R Pinnau, S Blauth, S Schotthöfer
PAMM 18 (1), e201800291, 2018
182018
Conservation properties of the augmented basis update & Galerkin integrator for kinetic problems
L Einkemmer, J Kusch, S Schotthöfer
arXiv preprint arXiv:2311.06399, 2023
112023
Neural network-based, structure-preserving entropy closures for the Boltzmann moment system
S Schotthöfer, T Xiao, M Frank, CD Hauck
arXiv preprint arXiv:2201.10364, 2022
112022
Geometry-aware training of factorized layers in tensor Tucker format
E Zangrando, S Schotthöfer, G Ceruti, J Kusch, F Tudisco
arXiv preprint arXiv:2305.19059v2, 2023
10*2023
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation.
S Schotthöfer, T Xiao, M Frank, CD Hauck
ICML, 19406-19433, 2022
92022
A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks
S Schotthöfer, T Xiao, M Frank, C Hauck
AIAA Aviation 2021 Forum, 2895, 2021
62021
Kit-rt: An extendable framework for radiative transfer and therapy
J Kusch, S Schotthöfer, P Stammer, J Wolters, T Xiao
ACM Transactions on Mathematical Software 49 (4), 1-24, 2023
42023
Structure-preserving operator learning: Modeling the collision operator of kinetic equations
JY Lee, S Schotthöfer, T Xiao, S Krumscheid, M Frank
arXiv preprint arXiv:2402.16613, 2024
32024
Predicting continuum breakdown with deep neural networks
T Xiao, S Schotthöfer, M Frank
Journal of Computational Physics 489, 112278, 2023
22023
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization
S Schotthöfer, BY Zhou, TA Albring, NR Gauger
AIAA AVIATION 2020 FORUM, 3130, 2020
22020
Federated dynamical low-rank training with global loss convergence guarantees
S Schotthöfer, MP Laiu
arXiv preprint arXiv:2406.17887, 2024
12024
An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training
J Kusch, S Schotthöfer, A Walter
arXiv preprint arXiv:2502.03006, 2025
2025
GeoLoRA: Geometric integration for parameter efficient fine-tuning
S Schotthöfer, E Zangrando, G Ceruti, F Tudisco, J Kusch
arXiv preprint arXiv:2410.18720, 2024
2024
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system
S Schotthöfer, MP Laiu, M Frank, CD Hauck
arXiv preprint arXiv:2404.14312, 2024
2024
Synergies between Numerical Methods for Kinetic Equations and Neural Networks
S Schotthöfer
2023
Regularization for Adjoint-Based Unsteady Aerodynamic Optimization Using Windowing Techniques
S Schotthöfer, BY Zhou, T Albring, NR Gauger
AIAA Journal 59 (7), 2517-2531, 2021
2021
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