Bernd Waschneck

According to our database, Bernd Waschneck authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2024

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2024

2023

Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.

Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2023

High-Throughput Approximate Multiplication Models in PyTorch.

Elias Trommer, Bernd Waschneck, Akash Kumar

Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

2022

Convolutional Neural Networks Quantization with Double-Stage Squeeze-and-Threshold.

Binyi Wu, Bernd Waschneck, Christian Georg Mayr

Int. J. Neural Syst., 2022

Convolutional Neural Networks Quantization with Attention.

Binyi Wu, Bernd Waschneck, Christian Georg Mayr

CoRR, 2022

Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches.

Tim Langer, Bernd Waschneck, Johannes Partzsch, Florian Kelber, Christian Mayr

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array.

Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks.

Elias Trommer, Bernd Waschneck, Akash Kumar

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Neural Architecture Search for Low-Precision Neural Networks.

Binyi Wu, Bernd Waschneck, Christian Mayr

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Industry-track: Towards Agile Design of Neural Processing Unit.

Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

2021

Compiler Toolchains for Deep Learning Workloads on Embedded Platforms.

Max Sponner, Bernd Waschneck, Akash Kumar

CoRR, 2021

dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference.

Elias Trommer, Bernd Waschneck, Akash Kumar

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks.

Binyi Wu, Bernd Waschneck, Christian Mayr

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020

Autonome Entscheidungsfindung in der Produktionssteuerung komplexer Werkstattfertigungen.

Bernd Waschneck

PhD thesis, 2020

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions.

Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing.

Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2016

Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry.

Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek

Proceedings of the 1st International Workshop on Science, 2016