Bernd Waschneck

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Production Scheduling

Keyword Spotting

Top Venues

Publications

Max Sponner, Bernd Waschneck, Akash Kumar
Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning. ACM Comput. Surv. 56 (10) (2024)
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments. CoRR (2024)
Eslam Hussein, Bernd Waschneck, Christian Mayr
Automating application-driven customization of ASIPs: A survey. J. Syst. Archit. 148 (2024)
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks. CoRR (2024)
Elias Trommer, Bernd Waschneck, Akash Kumar
High-Throughput Approximate Multiplication Models in PyTorch. DDECS (2023)
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing. CoRR (2023)
Elias Trommer, Bernd Waschneck, Akash Kumar
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. ICCAD (2022)
Elias Trommer, Bernd Waschneck, Akash Kumar
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. CoRR (2022)
Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr
Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array. ICPADS (2022)
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
Convolutional Neural Networks Quantization with Double-Stage Squeeze-and-Threshold. Int. J. Neural Syst. 32 (12) (2022)
Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr
Industry-track: Towards Agile Design of Neural Processing Unit. CODES+ISSS (2022)
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
Convolutional Neural Networks Quantization with Attention. CoRR (2022)
Binyi Wu, Bernd Waschneck, Christian Mayr
Neural Architecture Search for Low-Precision Neural Networks. ICANN (4) (2022)
Tim Langer, Bernd Waschneck, Johannes Partzsch, Florian Kelber, Christian Mayr
Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches. ICPR (2022)
Max Sponner, Bernd Waschneck, Akash Kumar
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms. CoRR (2021)
Elias Trommer, Bernd Waschneck, Akash Kumar
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. CoRR (2021)
Binyi Wu, Bernd Waschneck, Christian Mayr
Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks. EANN (2021)
Elias Trommer, Bernd Waschneck, Akash Kumar
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. ICCAD (2021)
Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. ICASSP (2020)
Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. CoRR (2019)
Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek
Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing. CASE (2018)
Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek
Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry. SAMI@iKNOW (2016)