Nando Hegemann

According to our database, Nando Hegemann authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson

CoRR, November, 2025

Estimating systematic errors in Bayesian inversion using transport maps.

Maren Casfor, Philipp Trunschke, Sebastian Heidenreich, Nando Hegemann

CoRR, September, 2025

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

CoRR, February, 2025

2023

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions.

Nando Hegemann, Sebastian Heidenreich

J. Open Source Softw., October, 2023

Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

SIAM J. Sci. Comput., April, 2023

Convergence of adaptive Galerkin FEM for parametric PDEs with lognormal coefficients.

Martin Eigel, Nando Farchmin

CoRR, 2023

2021

Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

Efficient approximation of high-dimensional exponentials by tensornetworks.

Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke

CoRR, 2021

Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.

Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2019

The Oracle of DLphi.

Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber

CoRR, 2019