Tizian Wenzel

According to our database, Tizian Wenzel authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective.

Tizian Wenzel, Francesco Marchetti, Emma Perracchione

SIAM J. Sci. Comput., February, 2024

A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control.

Mathias Oster, Luca Saluzzi, Tizian Wenzel

CoRR, 2024

2023

A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs.

Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel

SIAM J. Sci. Comput., June, 2023

On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces.

Gabriele Santin, Tizian Wenzel, Bernard Haasdonk

CoRR, 2023

Sharp inverse estimates for radial basis function interpolation: One-to-one correspondence between smoothness and approximation rates.

Tizian Wenzel

CoRR, 2023

Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling.

Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler

CoRR, 2023

2022

Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods.

Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk

CoRR, 2022

Stability of convergence rates: Kernel interpolation on non-Lipschitz domains.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2022

2021

A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

J. Approx. Theory, 2021

Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2021

Universality and Optimality of Structured Deep Kernel Networks.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2021

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.

Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows.

Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2019

A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2019

Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods.

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019