Markus Lange-Hegermann

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 33

Top Topics

Gaussian Process

Top Venues

Adv. Appl. Math.

Publications

Henrik Folz, Joshua Henjes, Annika Heuer, Joscha Lahl, Philipp Olfert, Bjarne Seen, Sebastian Stabenau, Kai Krycki, Markus Lange-Hegermann, Helmand Shayan
PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning. CoRR (2024)
Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline. CoRR (2024)
Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS (2024)
Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. CoRR (2024)
Nico Baumgart, Markus Lange-Hegermann, Mike Mücke
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection. CoRR (2024)
Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR (2024)
Markus Lange-Hegermann, Christoph Zimmer
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR (2024)
Amandeep Singh, Michael Weber, Markus Lange-Hegermann
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders. CoRR (2023)
Ka Yung Cheng, Santiago Pazmino, Björn Bergh, Markus Lange-Hegermann, Björn Schreiweis
An Image Retrieval Pipeline in a Medical Data Integration Center. MedInfo (2023)
Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. ICML (2023)
Jörn Tebbe, Thomas Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann, Jan Schneider
Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. INDIN (2023)
Markus Lange-Hegermann, Daniel Robertz
On Boundary Conditions Parametrized by Analytic Functions. CASC (2022)
Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. CoRR (2022)
Tanja Hernández Rodríguez, Anton Sekulic, Markus Lange-Hegermann, Björn Frahm
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. CoRR (2022)
Andreas Besginow, Markus Lange-Hegermann
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. CoRR (2022)
Ka Yung Cheng, Helmand Shayan, Kai Krycki, Markus Lange-Hegermann
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method. CoRR (2022)
Markus Lange-Hegermann, Daniel Robertz
On boundary conditions parametrized by analytic functions. CoRR (2022)
Helmand Shayan, Kai Krycki, Marco Doemeland, Markus Lange-Hegermann
PGNAA Spectral Classification of Metal with Density Estimations. CoRR (2022)
Mohamed Barakat, Markus Lange-Hegermann
An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties. Math. Comput. 91 (333) (2022)
Andreas Besginow, Markus Lange-Hegermann
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. NeurIPS (2022)
Markus Lange-Hegermann
Linearly Constrained Gaussian Processes with Boundary Conditions. AISTATS (2021)
Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CoRR (2021)
Markus Lange-Hegermann, Daniel Robertz, Werner M. Seiler, Matthias Seiß
Singularities of algebraic differential equations. Adv. Appl. Math. 131 (2021)
Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CASE (2021)
Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks
On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) (2021)
Fabian Berns, Markus Lange-Hegermann, Christian Beecks
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. IN4PL (2020)
Markus Lange-Hegermann
Linearly Constrained Gaussian Processes with Boundary Conditions. CoRR (2020)
Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
The MAPLE package TDDS for computing Thomas decompositions of systems of nonlinear PDEs. Comput. Phys. Commun. 234 (2019)
Markus Lange-Hegermann
Priors for Linear Differential Equations. GI-Jahrestagung (2019)
Markus Lange-Hegermann
The Differential Counting Polynomial. Found. Comput. Math. 18 (2) (2018)
Markus Lange-Hegermann
Algorithmic Linearly Constrained Gaussian Processes. CoRR (2018)
Markus Lange-Hegermann
Algorithmic Linearly Constrained Gaussian Processes. NeurIPS (2018)
Markus Lange-Hegermann
Counting solutions of differential equations. ACM Commun. Comput. Algebra 49 (1) (2015)
Mohamed Barakat, Markus Lange-Hegermann
Characterizing Serre Quotients with no Section Functor and Applications to Coherent Sheaves. Appl. Categorical Struct. 22 (3) (2014)
Markus Lange-Hegermann
The Differential Dimension Polynomial for Characterizable Differential Ideals. CoRR (2014)
Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
Algorithmic Thomas decomposition of algebraic and differential systems. J. Symb. Comput. 47 (10) (2012)
Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Wilhelm Plesken, Daniel Robertz
Thomas decomposition and its applications. ACM Commun. Comput. Algebra 44 (3/4) (2010)
Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
Thomas Decomposition of Algebraic and Differential Systems. CASC (2010)
Mohamed Barakat, Markus Lange-Hegermann
LocalizeRingForHomalg: localize commutative rings at maximal ideals. ACM Commun. Comput. Algebra 44 (3/4) (2010)