Michael Hecht

Orcid: 0000-0001-9214-8253

According to our database1, Michael Hecht authored at least 30 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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5
10
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6
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2
1
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2
4
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions.
Dataset, January, 2025

Data to "Minterpy: Multivariate polynomial interpolation in Python".
Dataset, January, 2025

2024
Minterpy - multivariate polynomial interpolation.
Dataset, December, 2024

Minterpy - multivariate polynomial interpolation.
Dataset, December, 2024

UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions.
Dataset, November, 2024

Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes.
Axioms, August, 2024

surfpy is a Python package for computing surface integrals over smooth embedded manifolds.
Dataset, June, 2024

A note on the rate of convergence of integration schemes for closed surfaces.
Comput. Appl. Math., March, 2024

Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness.
Mach. Learn. Sci. Technol., 2024

Hybrid Surrogate Models: Circumventing Gibbs Phenomenon for Partial Differential Equations with Finite Shock-Type Discontinuities.
CoRR, 2024

High-order numerical integration on regular embedded surfaces.
CoRR, 2024

PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates.
CoRR, 2024

2023
Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power.
Mach. Learn. Sci. Technol., December, 2023

UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions.
J. Open Source Softw., November, 2023

UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions.
Dataset, October, 2023

Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces.
SIAM J. Sci. Comput., August, 2023

Minterpy - multivariate polynomial interpolation.
Dataset, January, 2023

High-Order Integration on regular triangulated manifolds reaches Super-Algebraic Approximation Rates through Cubical Re-parameterizations.
CoRR, 2023

Polynomial-Model-Based Optimization for Blackbox Objectives.
CoRR, 2023

Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces.
CoRR, 2023

Minimizing Black Boxes due to Polynomial-Model-Based Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions.
CoRR, 2022

Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power.
CoRR, 2022

2021
Minterpy - multivariate polynomial interpolation.
Dataset, December, 2021

Minterpy - multivariate polynomial interpolation.
Dataset, December, 2021

Tight Localizations of Feedback Sets.
ACM J. Exp. Algorithmics, 2021

InFlow: Robust outlier detection utilizing Normalizing Flows.
CoRR, 2021

2020
Multivariate Interpolation on Unisolvent Nodes - Lifting the Curse of Dimensionality.
CoRR, 2020

2018
Exact Localisations of Feedback Sets.
Theory Comput. Syst., 2018

2017
A generalization of the most common subgraph distance and its application to graph editing.
Pattern Recognit. Lett., 2017


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