Tizian Wenzel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Reproducing Kernel Hilbert Space

Approximation Algorithms

Point Distribution

Top Venues

SIAM J. Sci. Comput.

J. Approx. Theory

Publications

Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. 46 (1) (2024)
Tizian Wenzel, Armin Iske
Finetuning greedy kernel models by exchange algorithms. CoRR (2024)
Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev
Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. CoRR (2024)
Mathias Oster, Luca Saluzzi, Tizian Wenzel
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control. CoRR (2024)
Tizian Wenzel
Sharp inverse estimates for radial basis function interpolation: One-to-one correspondence between smoothness and approximation rates. CoRR (2023)
Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC (2023)
Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. CoRR (2023)
Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR (2023)
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR (2023)
Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. 45 (3) (2023)
Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR (2022)
Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk
Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods. CoRR (2022)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. CoRR (2022)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution. J. Approx. Theory 262 (2021)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy. CoRR (2021)
Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. CoRR (2021)
Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows. LSSC (2021)
Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. LSSC (2021)
Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. CoRR (2021)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Universality and Optimality of Structured Deep Kernel Networks. CoRR (2021)
Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. CoRR (2020)
Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. ENUMATH (2019)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. CoRR (2019)