Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. - Lukas Schölch; Jonas Steinhäuser; Maximilian Beichter; Constantin Seibold; Kailun Yang 001; Merlin Knaeble; Thorsten Schwarz; Alexander Maedche; Rainer Stiefelhagen (ICPR, 2022)

Net load forecasting using different aggregation levels. - Maximilian Beichter; Kaleb Phipps; Martha Maria Frysztacki; Ralf Mikut; Veit Hagenmeyer; Nicole Ludwig 002 (Energy Inform., 2022)

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 (e-Energy (Companion), 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 (EI.A, 2023)

Transformer training strategies for forecasting multiple load time series. - Matthias Hertel; Maximilian Beichter; Benedikt Heidrich; Oliver Neumann; Benjamin Schäfer 001; Ralf Mikut; Veit Hagenmeyer (Energy Inform., 2023)

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 (e-Energy, 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 (e-Energy, 2024)

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. - Rafael Poppenborg; Kaleb Phipps; Maximilian Beichter; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (EI.A (2), 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; et al. (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)

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)

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, 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; et al. (CoRR, 2025)

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation. - Pascal Zwick; Nils Friederich; Maximilian Beichter; Lennart Hilbert; Ralf Mikut; Oliver Bringmann 001 (CoRR, 2025)