Marcel Arpogaus

According to our database, Marcel Arpogaus authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

Time-series surrogates from energy consumers generated by machine learning approaches for long-term forecasting scenarios.

Ben Gerhards, Nikita Popkov, Annekatrin König, Marcel Arpogaus, Bastian Schäfermeier, Leonie Riedl, Stephan Vogt, Philip Hehlert

CoRR, June, 2025

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals.

Marcel Arpogaus, Thomas Kneib, Thomas Nagler, David Rügamer

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.

Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows.

Marcel Arpogaus, Marcus Voss, Beate Sick, Mark Nigge-Uricher, Oliver Dürr

IEEE Trans. Smart Grid, November, 2023