Matthias Wess

Orcid: 0000-0002-1877-4114

According to our database1, Matthias Wess authored at least 10 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Conformal Prediction Based Confidence for Latency Estimation of DNN Accelerators: A Black-Box Approach.
IEEE Access, 2024

2023
Energy Profiling of DNN Accelerators.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

Fast, Quantization Aware DNN Training for Efficient HW Implementation.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022
The SELENE Deep Learning Acceleration Framework for Safety-related Applications.
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.
CoRR, 2021

ANNETTE: Accurate Neural Network Execution Time Estimation With Stacked Models.
IEEE Access, 2021

Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2018
Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

2017
Neural network based ECG anomaly detection on FPGA and trade-off analysis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
ICT emulation platform setup demonstration of smart grid component prototype examples.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016


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