Bernd Waschneck

30 papers A 2B 2C 2Misc 2Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fast Retraining of Approximate CNNs for High Accuracy.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Elias Trommer, Bernd Waschneck, Akash Kumar
2025 — conf
QoS-Nets: Adaptive Approximate Neural Networks.
AICAS
Elias Trommer, Bernd Waschneck, Akash Kumar
2024 J jnl
Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning.
ACM Comput. Surv.
Max Sponner, Bernd Waschneck, Akash Kumar
2024 J jnl
Automating application-driven customization of ASIPs: A survey.
J. Syst. Archit.
Eslam Hussein, Bernd Waschneck, Christian Mayr
2024 J jnl
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.
CoRR
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 — conf
Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.
SAMOS
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 — conf
Harnessing Temporal Information for Efficient Edge AI.
FMEC
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 J jnl
Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI.
IEEE Access
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2024 J jnl
QoS-Nets: Adaptive Approximate Neural Network Inference.
CoRR
Elias Trommer, Bernd Waschneck, Akash Kumar
2024 J jnl
Smaller Together: Groupwise Encoding of Sparse Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Elias Trommer, Bernd Waschneck, Akash Kumar
2024 J jnl
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks.
CoRR
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2023 C conf
High-Throughput Approximate Multiplication Models in PyTorch.
DDECS
Elias Trommer, Bernd Waschneck, Akash Kumar
2023 J jnl
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.
CoRR
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
2022 A conf
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks.
ICCAD
Elias Trommer, Bernd Waschneck, Akash Kumar
2022 J jnl
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks.
CoRR
Elias Trommer, Bernd Waschneck, Akash Kumar
2022 J jnl
Convolutional Neural Networks Quantization with Attention.
CoRR
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
2022 J jnl
Convolutional Neural Networks Quantization with Double-Stage Squeeze-and-Threshold.
Int. J. Neural Syst.
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
2022 B conf
Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches.
ICPR
Tim Langer, Bernd Waschneck, Johannes Partzsch, Florian Kelber, Christian Mayr
2022 Misc conf
Industry-track: Towards Agile Design of Neural Processing Unit.
CODES+ISSS
Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr
2022 — conf
Neural Architecture Search for Low-Precision Neural Networks.
ICANN (4)
Binyi Wu, Bernd Waschneck, Christian Mayr
2022 B conf
Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array.
ICPADS
Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr
2021 J jnl
Compiler Toolchains for Deep Learning Workloads on Embedded Platforms.
CoRR
Max Sponner, Bernd Waschneck, Akash Kumar
2021 C conf
Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks.
EANN
Binyi Wu, Bernd Waschneck, Christian Mayr
2021 A conf
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference.
ICCAD
Elias Trommer, Bernd Waschneck, Akash Kumar
2021 J jnl
dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference.
CoRR
Elias Trommer, Bernd Waschneck, Akash Kumar
2020 — —
Autonome Entscheidungsfindung in der Produktionssteuerung komplexer Werkstattfertigungen.
Bernd Waschneck
2020 Misc conf
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions.
ICASSP
Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll
2019 J jnl
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions.
CoRR
Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll
2018 — conf
Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing.
CASE
Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek
2016 — conf
Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry.
SAMI@iKNOW
Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek