Maximilian Beichter

18 papers B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems.
CoRR
Pascal Henrich, Jonas Sievers, Maximilian Beichter, Thomas Blank, Ralf Mikut, Veit Hagenmeyer
2025 J jnl
Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization.
CoRR
Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich
2025 J jnl
EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis.
CoRR
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
2025 J jnl
LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation.
CoRR
Pascal Zwick, Nils Friederich, Maximilian Beichter, Lennart Hilbert, Ralf Mikut, Oliver Bringmann
2025 J jnl
On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching.
Autom.
Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2024 — conf
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems.
e-Energy
Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer
2024 — conf
Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling.
EI.A (2)
Rafael Poppenborg, Kaleb Phipps, Maximilian Beichter, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
2024 J jnl
EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis.
CoRR
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
2024 — conf
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions.
e-Energy
Oliver Neumann, Maximilian Beichter, Benedikt Heidrich, Nils Friederich, Veit Hagenmeyer, Ralf Mikut
2024 J jnl
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching.
CoRR
Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2024 J jnl
Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation.
CoRR
Janik Pinter, Frederik Zahn, Maximilian Beichter, Ralf Mikut, Veit Hagenmeyer
2023 — conf
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.
EI.A
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2023 — conf
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.
e-Energy (Companion)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2023 J jnl
Transformer Training Strategies for Forecasting Multiple Load Time Series.
CoRR
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2023 J jnl
Transformer training strategies for forecasting multiple load time series.
Energy Inform.
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022 J jnl
Net load forecasting using different aggregation levels.
Energy Inform.
Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
2022 B conf
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.
ICPR
Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knaeble, Thorsten Schwarz, Alexander Maedche, Rainer Stiefelhagen
2022 J jnl
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data.
CoRR
Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen