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Markus Lange-Hegermann
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- affiliation: OWL University of Applied Sciences and Arts, Germany
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2020 – today
- 2024
- [c13]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS 2024: 1333-1341 - [i17]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR abs/2402.18260 (2024) - [i16]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 abs/2403.04809 (2024) - [i15]Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. CoRR abs/2403.09215 (2024) - [i14]Henrik Folz, Joshua Henjes, Annika Heuer, Joscha Lahl, Philipp Olfert, Bjarne Seen, Sebastian Stabenau, Kai Krycki, Markus Lange-Hegermann
PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning. CoRR abs/2404.14107 (2024) - [i13]Markus Lange-Hegermann
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR abs/2405.10581 (2024) - [i12]Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline. CoRR abs/2406.01071 (2024) - 2023
- [c12]Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita:
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. ICML 2023: 12587-12615 - [c11]Jörn Tebbe, Thomas Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann
Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. INDIN 2023: 1-7 - [c10]Ka Yung Cheng, Santiago Pazmino, Björn Bergh, Markus Lange-Hegermann
An Image Retrieval Pipeline in a Medical Data Integration Center. MedInfo 2023: 1388-1389 - [i11]Amandeep Singh, Michael Weber, Markus Lange-Hegermann
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders. CoRR abs/2306.15938 (2023) - 2022
- [j9]Mohamed Barakat, Markus Lange-Hegermann
An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties. Math. Comput. 91(333): 451-490 (2022) - [c9]Markus Lange-Hegermann
On Boundary Conditions Parametrized by Analytic Functions. CASC 2022: 225-245 - [c8]Andreas Besginow, Markus Lange-Hegermann:
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. NeurIPS 2022 - [i10]Markus Lange-Hegermann
On boundary conditions parametrized by analytic functions. CoRR abs/2205.03185 (2022) - [i9]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 abs/2205.03261 (2022) - [i8]Andreas Besginow, Markus Lange-Hegermann:
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. CoRR abs/2208.12515 (2022) - [i7]Helmand Shayan, Kai Krycki, Marco Doemeland, Markus Lange-Hegermann:
PGNAA Spectral Classification of Metal with Density Estimations. CoRR abs/2208.13836 (2022) - [i6]Ka Yung Cheng, Helmand Shayan, Kai Krycki, Markus Lange-Hegermann:
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method. CoRR abs/2208.13909 (2022) - [i5]Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita:
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. CoRR abs/2212.14319 (2022) - 2021
- [j8]Markus Lange-Hegermann
Singularities of algebraic differential equations. Adv. Appl. Math. 131: 102266 (2021) - [c7]Markus Lange-Hegermann:
Linearly Constrained Gaussian Processes with Boundary Conditions. AISTATS 2021: 1090-1098 - [c6]Tom Hammerbacher, Markus Lange-Hegermann
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CASE 2021: 1262-1267 - [c5]Jan David Hüwel
On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) 2021: 1-23 - [i4]Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz:
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CoRR abs/2103.12998 (2021) - 2020
- [c4]Fabian Berns
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. IN4PL 2020: 87-92 - [i3]Markus Lange-Hegermann:
Linearly Constrained Gaussian Processes with Boundary Conditions. CoRR abs/2002.00818 (2020)
2010 – 2019
- 2019
- [j7]Vladimir P. Gerdt, Markus Lange-Hegermann
The MAPLE package TDDS for computing Thomas decompositions of systems of nonlinear PDEs. Comput. Phys. Commun. 234: 202-215 (2019) - [c3]Markus Lange-Hegermann
Priors for Linear Differential Equations. GI-Jahrestagung 2019: 269-270 - 2018
- [j6]Markus Lange-Hegermann
The Differential Counting Polynomial. Found. Comput. Math. 18(2): 291-308 (2018) - [c2]Markus Lange-Hegermann:
Algorithmic Linearly Constrained Gaussian Processes. NeurIPS 2018: 2141-2152 - [i2]Markus Lange-Hegermann:
Algorithmic Linearly Constrained Gaussian Processes. CoRR abs/1801.09197 (2018) - 2015
- [j5]Markus Lange-Hegermann:
Counting solutions of differential equations. ACM Commun. Comput. Algebra 49(1): 25-26 (2015) - 2014
- [j4]Mohamed Barakat, Markus Lange-Hegermann
Characterizing Serre Quotients with no Section Functor and Applications to Coherent Sheaves. Appl. Categorical Struct. 22(3): 457-466 (2014) - [i1]Markus Lange-Hegermann:
The Differential Dimension Polynomial for Characterizable Differential Ideals. CoRR abs/1401.5959 (2014) - 2012
- [j3]Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann
Algorithmic Thomas decomposition of algebraic and differential systems. J. Symb. Comput. 47(10): 1233-1266 (2012) - 2010
- [j2]Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann
Thomas decomposition and its applications. ACM Commun. Comput. Algebra 44(3/4): 91-92 (2010) - [j1]Mohamed Barakat, Markus Lange-Hegermann
LocalizeRingForHomalg: localize commutative rings at maximal ideals. ACM Commun. Comput. Algebra 44(3/4): 201-204 (2010) - [c1]Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann
Thomas Decomposition of Algebraic and Differential Systems. CASC 2010: 31-54
Coauthor Index
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