Benutzer: Gast  Login
Weniger Felder
Einfache Suche
Sortieren nach:
und:
Mehr ...

Hayden Liu Weng
Data-Driven Solver and Preconditioner Selection for Sparse Linear Matrices
International Conference On Preconditioning Techniques For Scientific and Industrial Applications
2024

Mehr ...

Martin, David
Evaluation of the Multiple Time-Stepping Method for 3-Body Molecular Dynamics Simulations
IDP-Arbeit
2024

Mehr ...

Maximilian Hoff
Test Generation for model-based Applications
Masterarbeit
2023

Mehr ...

Zekai Li
Decomposition Methods for Tensor Networks
Bachelorarbeit
2024

Mehr ...

Niklas Vinnitchenko; Benjamin Rodenberg; Hans-Joachim Bungartz; Benjamin Uekermann
Higher-Order Time-Stepping in Multiphysics using preCICE
FEniCS 2024
2024

Mehr ...

Doncevic, Danimir T.;Mitsos, Alexander;Guo, Yue;Li, Qianxiao;Dietrich, Felix;Dahmen, Manuel;Kevrekidis, Ioannis G.
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
SIAM Journal on Scientific Computing
2024
46
2
Apr
A719-A743

Mehr ...

Chinmay Datar;Adwait Datar;Felix Dietrich;Wil Schilders
Continuous-time neural networks for modeling linear dynamical systems
ICLR 2024
2024

Mehr ...

Ioannis K. Gallos;Daniel Lehmberg;Felix Dietrich;Constantinos Siettos
Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator
Chaos: An Interdisciplinary Journal of Nonlinear Science
2024
34
1
Jan

Mehr ...

Safa Sadiq
Sampling weights of auto-encoder networks
Masterarbeit
2024

Mehr ...

Georgi Hrusanov
Predicting Building Occupancy with the Koopman Operator
Masterarbeit
2024