Philipp Knechtges

Orcid: 0000-0002-4849-0593

According to our database1, Philipp Knechtges authored at least 8 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Sparse Bayesian learning for label efficiency in cardiac real-time MRI.
Stat. Comput., February, 2026

2025
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI.
SIAM/ASA J. Uncertain. Quantification, 2025

Preconditioned FEM-based neural networks for solving incompressible fluid flows and related inverse problems.
J. Comput. Appl. Math., 2025

Engineering a large-scale data analytics and array computing library for research: Heat.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2025

2024
FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems.
CoRR, 2024

2023
An Eigenvalue-Free Implementation of the Log-Conformation Formulation.
CoRR, 2023

2020
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2016
Automatic implementation of material laws: Jacobian calculation in a finite element code with TAPENADE.
Comput. Math. Appl., 2016


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