Markus Lange-Hegermann

According to our database, Markus Lange-Hegermann authored at least 32 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline.

Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann

CoRR, 2024

Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes.

Markus Lange-Hegermann, Christoph Zimmer

CoRR, 2024

PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning.

Henrik Folz, Joshua Henjes, Annika Heuer, Joscha Lahl, Philipp Olfert, Bjarne Seen, Sebastian Stabenau, Kai Krycki, Markus Lange-Hegermann, Helmand Shayan

CoRR, 2024

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes.

Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann

CoRR, 2024

Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection.

Nico Baumgart, Markus Lange-Hegermann, Mike Mücke

CoRR, 2024

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders.

Amandeep Singh, Michael Weber, Markus Lange-Hegermann

CoRR, 2023

An Image Retrieval Pipeline in a Medical Data Integration Center.

Ka Yung Cheng, Santiago Pazmino, Björn Bergh, Markus Lange-Hegermann, Björn Schreiweis

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system.

Jörn Tebbe, Thomas Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann, Jan Schneider

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients.

Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita

Proceedings of the International Conference on Machine Learning, 2023

2022

An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties.

Mohamed Barakat, Markus Lange-Hegermann

Math. Comput., 2022

"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method.

Ka Yung Cheng, Helmand Shayan, Kai Krycki, Markus Lange-Hegermann

CoRR, 2022

PGNAA Spectral Classification of Metal with Density Estimations.

Helmand Shayan, Kai Krycki, Marco Doemeland, Markus Lange-Hegermann

CoRR, 2022

Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.

Tanja Hernández Rodríguez, Anton Sekulic, Markus Lange-Hegermann, Björn Frahm

CoRR, 2022

Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations.

Andreas Besginow, Markus Lange-Hegermann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Boundary Conditions Parametrized by Analytic Functions.

Markus Lange-Hegermann, Daniel Robertz

Proceedings of the Computer Algebra in Scientific Computing - 24th International Workshop, 2022

2021

Singularities of algebraic differential equations.

Markus Lange-Hegermann, Daniel Robertz, Werner M. Seiler, Matthias Seiß

Adv. Appl. Math., 2021

On Kernel Search Based Gaussian Process Anomaly Detection.

Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks

Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2021

Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability.

Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Linearly Constrained Gaussian Processes with Boundary Conditions.

Markus Lange-Hegermann

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.

Fabian Berns, Markus Lange-Hegermann, Christian Beecks

Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, 2020

2019

The MAPLE package TDDS for computing Thomas decompositions of systems of nonlinear PDEs.

Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz

Comput. Phys. Commun., 2019

Priors for Linear Differential Equations.

Markus Lange-Hegermann

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

The Differential Counting Polynomial.

Markus Lange-Hegermann

Found. Comput. Math., 2018

Algorithmic Linearly Constrained Gaussian Processes.

Markus Lange-Hegermann

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

Counting solutions of differential equations.

Markus Lange-Hegermann

ACM Commun. Comput. Algebra, 2015

2014

The Differential Dimension Polynomial for Characterizable Differential Ideals.

Markus Lange-Hegermann

CoRR, 2014

Characterizing Serre Quotients with no Section Functor and Applications to Coherent Sheaves.

Mohamed Barakat, Markus Lange-Hegermann

Appl. Categorical Struct., 2014

2012

Algorithmic Thomas decomposition of algebraic and differential systems.

Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz

J. Symb. Comput., 2012

2010

LocalizeRingForHomalg: localize commutative rings at maximal ideals.

Mohamed Barakat, Markus Lange-Hegermann

ACM Commun. Comput. Algebra, 2010

Thomas decomposition and its applications.

Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Wilhelm Plesken, Daniel Robertz

ACM Commun. Comput. Algebra, 2010

Thomas Decomposition of Algebraic and Differential Systems.

Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz

Proceedings of the Computer Algebra in Scientific Computing - 12th International Workshop, 2010