Steffen Schotthöfer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Differential Equations

Avoid Overfitting

Structure Preserving

Top Venues

J. Comput. Phys.

ACM Trans. Math. Softw.

Publications

Steffen Schotthöfer, M. Paul Laiu, Martin Frank, Cory D. Hauck
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system. CoRR (2024)
Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations. CoRR (2024)
Steffen Schotthöfer, M. Paul Laiu
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees. CoRR (2024)
Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao
KiT-RT: An Extendable Framework for Radiative Transfer and Therapy. ACM Trans. Math. Softw. 49 (4) (2023)
Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
Rank-adaptive spectral pruning of convolutional layers during training. CoRR (2023)
Lukas Einkemmer, Jonas Kusch, Steffen Schotthöfer
Conservation properties of the augmented basis update & Galerkin integrator for kinetic problems. CoRR (2023)
Tianbai Xiao, Steffen Schotthöfer, Martin Frank
Predicting continuum breakdown with deep neural networks. J. Comput. Phys. 489 (2023)
Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck
Neural network-based, structure-preserving entropy closures for the Boltzmann moment system. CoRR (2022)
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. NeurIPS (2022)
Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao
KiT-RT: An extendable framework for radiative transfer and therapy. CoRR (2022)
Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation. ICML (2022)
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. CoRR (2022)
Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck
A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks. CoRR (2021)