Michael Hecht

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Differential Geometry

Outlier Detection

Top Venues

Mach. Learn. Sci. Technol.

Theory Comput. Syst.

Comput. Appl. Math.

Publications

Janina Schreiber, Pau Batlle, Damar Wicaksono, Michael Hecht
PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates. CoRR (2024)
Gentian Zavalani, Elima Shehu, Michael Hecht
A note on the rate of convergence of integration schemes for closed surfaces. Comput. Appl. Math. 43 (2) (2024)
Gentian Zavalani, Michael Hecht
High-order numerical integration on regular embedded surfaces. CoRR (2024)
Janina Schreiber, Damar Wicaksono, Michael Hecht
Minimizing Black Boxes due to Polynomial-Model-Based Optimization. GECCO Companion (2023)
Janina Schreiber, Damar Wicaksono, Michael Hecht
Polynomial-Model-Based Optimization for Blackbox Objectives. CoRR (2023)
Juan Esteban Suarez Cardona, Michael Hecht
Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power. Mach. Learn. Sci. Technol. 4 (4) (2023)
Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes. CoRR (2023)
Gentian Zavalani, Oliver Sander, Michael Hecht
High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations. CoRR (2023)
Juan Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces. CoRR (2023)
Damar Wicaksono, Michael Hecht
UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions. J. Open Source Softw. 8 (91) (2023)
Sachin K. Thekke Veettil, Gentian Zavalani, Uwe Hernandez Acosta, Ivo F. Sbalzarini, Michael Hecht
Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces. SIAM J. Sci. Comput. 45 (4) (2023)
Juan Esteban Suarez Cardona, Michael Hecht
Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power. CoRR (2022)
Sachin K. Thekke Veettil, Yuxi Zheng, Uwe Hernandez Acosta, Damar Wicaksono, Michael Hecht
Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions. CoRR (2022)
Sachin K. Thekke Veettil, Gentian Zavalani, Uwe Hernandez Acosta, Ivo F. Sbalzarini, Michael Hecht
Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces. CoRR (2022)
Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann
InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR (2021)
Michael Hecht, Krzysztof Gonciarz, Szabolcs Horvát
Tight Localizations of Feedback Sets. ACM J. Exp. Algorithmics 26 (2021)
Michael Hecht, Krzysztof Gonciarz, Szabolcs Horvát
Tight Localizations of Feedback Sets. CoRR (2020)
Michael Hecht, Krzysztof Gonciarz, Jannik Michelfeit, Vladimir Sivkin, Ivo F. Sbalzarini
Multivariate Interpolation on Unisolvent Nodes - Lifting the Curse of Dimensionality. CoRR (2020)
Michael Hecht
Exact Localisations of Feedback Sets. Theory Comput. Syst. 62 (5) (2018)
Michael Hecht
A generalization of the most common subgraph distance and its application to graph editing. Pattern Recognit. Lett. 87 (2017)
Michael Hecht
Exact Localisations of Feedback Sets. CoRR (2017)