Maximilian Beichter

According to our database, Maximilian Beichter authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation.

Pascal Zwick, Nils Friederich, Maximilian Beichter, Lennart Hilbert, Ralf Mikut, Oliver Bringmann

CoRR, May, 2025

EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis.

Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Erenus Yildiz, Matthias Pesch, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut

CoRR, April, 2025

Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization.

Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich

CoRR, March, 2025

2024

On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching.

Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut

CoRR, 2024

Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation.

Janik Pinter, Frederik Zahn, Maximilian Beichter, Ralf Mikut, Veit Hagenmeyer

CoRR, 2024

EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis.

Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Matthias Pesch, Erenus Yildiz, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut

CoRR, 2024

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling.

Rafael Poppenborg, Kaleb Phipps, Maximilian Beichter, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024

Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions.

Oliver Neumann, Maximilian Beichter, Benedikt Heidrich, Nils Friederich, Veit Hagenmeyer, Ralf Mikut

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems.

Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Transformer training strategies for forecasting multiple load time series.

Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., January, 2023

Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.

Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.

Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Net load forecasting using different aggregation levels.

Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig

Energy Inform., 2022

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.

Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knaeble, Thorsten Schwarz, Alexander Maedche, Rainer Stiefelhagen

Proceedings of the 26th International Conference on Pattern Recognition, 2022