Markus Lange-Hegermann

51 papers A* 3A 2B 3C 1Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme. Trans. Mach. Learn. Res. Ruwen Fulek, Markus Lange-Hegermann
2026	B	`conf`	Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation. IDA Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann
2026	J	`jnl`	Investigation of the impact of synthetic training data in the industrial application of terminal strip object detection. Mach. Vis. Appl. Nico Baumgart, Markus Lange-Hegermann, Mike Mücke
2025	J	`jnl`	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity. CoRR Obed Amo, Samit Ghosh, Markus Lange-Hegermann, Bogdan Raita, Michael Pokojovy
2025	J	`jnl`	Future-aware Safe Active Learning of Time Varying Systems using Gaussian Processes. Trans. Mach. Learn. Res. Markus Lange-Hegermann, Christoph Zimmer
2025	J	`jnl`	Gaussian Process Regression for Inverse Problems in Linear PDEs. CoRR Xin Li, Markus Lange-Hegermann, Bogdan Raita
2025	J	`jnl`	Generative Models for Long Time Series: Approximately Equivariant Recurrent Network Structures for an Adjusted Training Scheme. CoRR Ruwen Fulek, Markus Lange-Hegermann
2025	J	`jnl`	Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series. CoRR Juhi Soni, Markus Lange-Hegermann, Stefan Windmann
2025	J	`jnl`	Physics-informed Gaussian Processes as Linear Model Predictive Controller with Constraint Satisfaction. CoRR Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann
2025	—	`conf`	Physics-informed Gaussian Processes as Linear Model Predictive Controller. L4DC Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann
2024	A	`conf`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR Markus Lange-Hegermann, Christoph Zimmer
2024	J	`jnl`	Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations. CoRR Jianlei Huang, Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita
2024	J	`jnl`	Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection. CoRR Nico Baumgart, Markus Lange-Hegermann, Mike Mücke
2024	J	`jnl`	On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. CoRR Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
2024	J	`jnl`	PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning. CoRR Henrik Folz, Joshua Henjes, Annika Heuer, Joscha Lahl, Philipp Olfert, Bjarne Seen, Sebastian Stabenau, Kai Krycki, Markus Lange-Hegermann, Helmand Shayan
2024	J	`jnl`	Physics-informed Gaussian Processes as Linear Model Predictive Controller. CoRR Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann
2024	J	`jnl`	Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline. CoRR Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann
2023	—	`conf`	An Image Retrieval Pipeline in a Medical Data Integration Center. MedInfo Ka Yung Cheng, Santiago Pazmino, Björn Bergh, Markus Lange-Hegermann, Björn Schreiweis
2023	A*	`conf`	Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. ICML Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita
2023	C	`conf`	Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. INDIN Jörn Tebbe, Thomas Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann, Jan Schneider
2023	J	`jnl`	Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders. CoRR Amandeep Singh, Michael Weber, Markus Lange-Hegermann
2022	J	`jnl`	"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method. CoRR Ka Yung Cheng, Helmand Shayan, Kai Krycki, Markus Lange-Hegermann
2022	J	`jnl`	An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties. Math. Comput. Mohamed Barakat, Markus Lange-Hegermann
2022	A*	`conf`	Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. NeurIPS Andreas Besginow, Markus Lange-Hegermann
2022	J	`jnl`	Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. CoRR Andreas Besginow, Markus Lange-Hegermann
2022	J	`jnl`	Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. CoRR Tanja Hernández Rodríguez, Anton Sekulic, Markus Lange-Hegermann, Björn Frahm
2022	J	`jnl`	Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. CoRR Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita
2022	B	`conf`	On Boundary Conditions Parametrized by Analytic Functions. CASC Markus Lange-Hegermann, Daniel Robertz
2022	J	`jnl`	On boundary conditions parametrized by analytic functions. CoRR Markus Lange-Hegermann, Daniel Robertz
2022	J	`jnl`	PGNAA Spectral Classification of Metal with Density Estimations. CoRR Helmand Shayan, Kai Krycki, Marco Doemeland, Markus Lange-Hegermann
2021	—	`conf`	Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CASE Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
2021	J	`jnl`	Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability. CoRR Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
2021	A	`conf`	Linearly Constrained Gaussian Processes with Boundary Conditions. AISTATS Markus Lange-Hegermann
2021	—	`conf`	On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2021	J	`jnl`	Singularities of algebraic differential equations. Adv. Appl. Math. Markus Lange-Hegermann, Daniel Robertz, Werner M. Seiler, Matthias Seiß
2020	J	`jnl`	Linearly Constrained Gaussian Processes with Boundary Conditions. CoRR Markus Lange-Hegermann
2020	—	`conf`	Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. IN4PL Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2019	—	`conf`	Priors for Linear Differential Equations. GI-Jahrestagung Markus Lange-Hegermann
2019	J	`jnl`	The MAPLE package TDDS for computing Thomas decompositions of systems of nonlinear PDEs. Comput. Phys. Commun. Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
2018	A*	`conf`	Algorithmic Linearly Constrained Gaussian Processes. NeurIPS Markus Lange-Hegermann
2018	J	`jnl`	Algorithmic Linearly Constrained Gaussian Processes. CoRR Markus Lange-Hegermann
2018	J	`jnl`	The Differential Counting Polynomial. Found. Comput. Math. Markus Lange-Hegermann
2015	J	`jnl`	Counting solutions of differential equations. ACM Commun. Comput. Algebra Markus Lange-Hegermann
2014	J	`jnl`	Characterizing Serre Quotients with no Section Functor and Applications to Coherent Sheaves. Appl. Categorical Struct. Mohamed Barakat, Markus Lange-Hegermann
2014	J	`jnl`	The Differential Dimension Polynomial for Characterizable Differential Ideals. CoRR Markus Lange-Hegermann
2012	J	`jnl`	Algorithmic Thomas decomposition of algebraic and differential systems. J. Symb. Comput. Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
2010	J	`jnl`	LocalizeRingForHomalg: localize commutative rings at maximal ideals. ACM Commun. Comput. Algebra Mohamed Barakat, Markus Lange-Hegermann
2010	B	`conf`	Thomas Decomposition of Algebraic and Differential Systems. CASC Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Daniel Robertz
2010	J	`jnl`	Thomas decomposition and its applications. ACM Commun. Comput. Algebra Thomas Bächler, Vladimir P. Gerdt, Markus Lange-Hegermann, Wilhelm Plesken, Daniel Robertz