Tizian Wenzel - RankMe

38 papers Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of structured deep kernel networks. J. Comput. Appl. Math. Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2026	J	`jnl`	On the optimal shape parameter for kernel methods: Sharp direct and inverse statements. CoRR Tizian Wenzel, Gabriele Santin
2026	J	`jnl`	Piecewise linear interpolation via kernels. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2026	J	`jnl`	Refined rates of convergence for target-data dependent greedy generalized interpolation with Sobolev kernels. CoRR Bernard Haasdonk, Gabriele Santin, Tizian Wenzel, Daniel Winkle
2026	J	`jnl`	Sharp inverse statements for kernel approximation: Superconvergence and saturation. CoRR Tizian Wenzel
2026	J	`jnl`	Spectral Alignment of Kernel Matrices and Applications. SIAM J. Matrix Anal. Appl. Tizian Wenzel, Armin Iske
2025	J	`jnl`	A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control. Dyn. Games Appl. Mathias Oster, Luca Saluzzi, Tizian Wenzel
2025	J	`jnl`	General superconvergence for kernel-based approximation. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2025	J	`jnl`	Kernel-based Greedy Approximation of Parametric Elliptic Boundary Value Problems. CoRR Bernard Haasdonk, Gabriele Santin, Tizian Wenzel
2025	J	`jnl`	Sharp inverse statements for kernel interpolation. Math. Comput. Tizian Wenzel
2025	J	`jnl`	Sobolev Algorithm for Local Smoothness Analysis (SALSA) via Sharp Direct and Inverse Statements. CoRR Sara Avesani, Leevan Ling, Francesco Marchetti, Tizian Wenzel
2025	J	`jnl`	Spectral equivalence of unsymmetric kernel matrices and applications. CoRR Tizian Wenzel, Armin Iske
2024	J	`jnl`	A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control. CoRR Mathias Oster, Luca Saluzzi, Tizian Wenzel
2024	J	`jnl`	Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2024	J	`jnl`	Finetuning greedy kernel models by exchange algorithms. CoRR Tizian Wenzel, Armin Iske
2024	J	`jnl`	Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. CoRR Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev
2024	J	`jnl`	Kernel Methods in the Deep Ritz framework: Theory and practice. CoRR Hendrik Kleikamp, Tizian Wenzel
2024	J	`jnl`	Novel and refined stability estimates for kernel matrices. CoRR Tizian Wenzel, Armin Iske
2024	J	`jnl`	On the Optimality of Target-Data-Dependent Kernel Greedy Interpolation in Sobolev Reproducing Kernel Hilbert Spaces. SIAM J. Numer. Anal. Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
2023	J	`jnl`	A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2023	—	`conf`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2023	J	`jnl`	On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. CoRR Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
2023	J	`jnl`	Sharp inverse estimates for radial basis function interpolation: One-to-one correspondence between smoothness and approximation rates. CoRR Tizian Wenzel
2022	J	`jnl`	A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2022	J	`jnl`	Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods. CoRR Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk
2022	J	`jnl`	Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2021	—	`conf`	A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows. LSSC Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
2021	J	`jnl`	A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. CoRR Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
2021	J	`jnl`	A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution. J. Approx. Theory Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2021	—	`conf`	Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. LSSC Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. CoRR Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Universality and Optimality of Structured Deep Kernel Networks. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2020	J	`jnl`	Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. CoRR Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
2019	J	`jnl`	A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2019	—	`conf`	Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. ENUMATH Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt