ICT emulation platform setup demonstration of smart grid component prototype examples. - Marcus Meisel; Stefan Wilker; Matthias Wess; Alexander Wendt; Thilo Sauter; Georg Kienesberger (ETFA, 2016)

Neural network based ECG anomaly detection on FPGA and trade-off analysis. - Matthias Wess; Sai Manoj P. D.; Axel Jantsch (ISCAS, 2017)

Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation. - Matthias Wess; Sai Manoj Pudukotai Dinakarrao; Axel Jantsch (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems. - Bernhard Haas; Alexander Wendt; Axel Jantsch; Matthias Wess (AIAI, 2021)

ANNETTE: Accurate Neural Network Execution Time Estimation With Stacked Models. - Matthias Wess; Matvey Ivanov; Christoph Unger; Anvesh Nookala; Alexander Wendt; Axel Jantsch (IEEE Access, 2021)

Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors. - Lukas Baischer; Matthias Wess; Nima Taherinejad (CoRR, 2021)

The SELENE Deep Learning Acceleration Framework for Safety-related Applications. - Laura Medina; Salva Carrion; Pablo Andreu; Tomás Picornell; José Flich; Carles Hernández 001; Michael Sandoval; Markel Sainz; Charles-Alexis Lefebvre; Martin Rönnbäck; Martin Matschnig; Matthias Wess; et al. (DATE, 2022)

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)

Special Session: Estimation and Optimization of DNNs for Embedded Platforms. - Axel Jantsch; Song Han 003; Lin Meng; Oliver Bringmann 001; Haotian Tang; Shang Yang; Hengyi Li; Matthias Wess; Martin Lechner (CODES+ISSS, 2024)

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)