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 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)