Facilitating aircraft optimal control based on numerical nonlinear dynamic inversion. - Johannes Diepolder; Matthias Bittner; Patrick Pipreck; Benedikt Grüter; Florian Holzapfel (MED, 2017)

Aircraft Control During Cruise Flight in Windshear Conditions: Viability Approach. - Nikolai D. Botkin; Varvara L. Turova; Johannes Diepolder; Matthias Bittner; Florian Holzapfel (Dyn. Games Appl., 2017)

Aerobatic Aircraft Guidance Design for Air-Race Scenario. - P. Promod; Arnab Maity; Haichao Hong; Matthias Bittner; Florian Holzapfel (CCTA, 2019)

Re-enacting rare multi-modal real-world grid events to generate ML training data sets. - Daniel Hauer; Matthias Bittner; Stephan Cejka; Ralf Mosshammer; Florian Kintzler; Thomas Leopold; Stefan Wilker (ISIE, 2021)

Fast, Quantization Aware DNN Training for Efficient HW Implementation. - Daniel Schnöll; Matthias Wess; Matthias Bittner; Maximilian Götzinger; Axel Jantsch (DSD, 2023)

Energy Profiling of DNN Accelerators. - Matthias Wess; Dominik Dallinger; Daniel Schnöll; Matthias Bittner; Maximilian Götzinger; Axel Jantsch (DSD, 2023)

Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation. - Matthias Bittner; Daniel Hauer; Christian Stippel; Katharina Scheucher; Robin Sudhoff; Axel Jantsch (ICMLA, 2023)

Explainable Long and Short-Term Pattern Detection in Projected Sequential Data. - Matthias Bittner; Andreas P. Hinterreiter; Klaus Eckelt; Marc Streit (PKDD/ECML Workshops (3), 2023)

Forecasting Load Profiles and Critical Overloads with Uncertainty Quantification for Low Voltage Smart Grids. - Matthias Bittner; Daniel Hauer; Matthias Wess; Daniel Schnöll; Konrad Diwold; Axel Jantsch (ICSRS, 2024)

Conformal Prediction Based Confidence for Latency Estimation of DNN Accelerators: A Black-Box Approach. - Matthias Wess; Daniel Schnöll; Dominik Dallinger; Matthias Bittner; Axel Jantsch (IEEE Access, 2024)

Efficient and interpretable raw audio classification with diagonal state space models. - Matthias Bittner; Daniel Schnöll; Matthias Wess; Axel Jantsch (Mach. Learn., 2025)