Matthias Wess

According to our database, Matthias Wess authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient and interpretable raw audio classification with diagonal state space models.

Matthias Bittner, Daniel Schnöll, Matthias Wess, Axel Jantsch

Mach. Learn., August, 2025

Modeling Diagonal State Space Models as Electric Circuits for Analog Neural Network Inference.

Matthias Bittner, Daniel Schnöll, Fabian Seiler, Matthias Wess, Axel Jantsch

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Lanes Are Not Enough: Enhancing Trajectory Prediction in Intralogistics Through Detailed Environmental Context.

Alexander Prutsch, Matthias Wess, Horst Possegger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Pruning State Space Models with Model Order Reduction for Efficient Raw Audio Classification.

Matthias Bittner, Daniel Schnöll, Dominik Dallinger, Matthias Wess, Axel Jantsch

Proceedings of the 33rd European Signal Processing Conference, 2025

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

Towards Optimal Implementations of Neural Networks on Micro-Controller.

Daniel Schnöll, Dominik Dallinger, Matthias Wess, Matthias Bittner, Axel Jantsch

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Interpretable Load Forecasting with Structured State Space Neural Networks.

Matthias Bittner, Daniel Hauer, Matthias Wess, Dominik Dallinger, Daniel Schnöll, Konrad Diwold, Axel Jantsch

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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

Proceedings of the 8th International Conference on System Reliability and Safety, 2024

Special Session: Estimation and Optimization of DNNs for Embedded Platforms.

Axel Jantsch, Song Han, Lin Meng, Oliver Bringmann, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024

2023

Energy Profiling of DNN Accelerators.

Matthias Wess, Dominik Dallinger, Daniel Schnöll, Matthias Bittner, Maximilian Götzinger, Axel Jantsch

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

Fast, Quantization Aware DNN Training for Efficient HW Implementation.

Daniel Schnöll, Matthias Wess, Matthias Bittner, Maximilian Götzinger, Axel Jantsch

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

The SELENE Deep Learning Acceleration Framework for Safety-related Applications.

Laura Medina, Salva Carrion, Pablo Andreu, Tomás Picornell, José Flich, Carles Hernández, Michael Sandoval, Markel Sainz, Charles-Alexis Lefebvre, Martin Rönnbäck, Martin Matschnig, Matthias Wess, Herbert Taucher

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors.

Lukas Baischer, Matthias Wess, Nima Taherinejad

CoRR, 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

Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems.

Bernhard Haas, Alexander Wendt, Axel Jantsch, Matthias Wess

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2018

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

2017

Neural network based ECG anomaly detection on FPGA and trade-off analysis.

Matthias Wess, Sai Manoj P. D., Axel Jantsch

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

ICT emulation platform setup demonstration of smart grid component prototype examples.

Marcus Meisel, Stefan Wilker, Matthias Wess, Alexander Wendt, Thilo Sauter, Georg Kienesberger

Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016