Bernd Waschneck

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning.

[BibT_eX]

[DOI]

Max Sponner

ACM Comput. Surv., October, 2024

Automating application-driven customization of ASIPs: A survey.

[BibT_eX]

[DOI]

Eslam Hussein

Christian Mayr

J. Syst. Archit., 2024

QoS-Nets: Adaptive Approximate Neural Network Inference.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI.

[BibT_eX]

[DOI]

IEEE Access, 2024

Harnessing Temporal Information for Efficient Edge AI.

[BibT_eX]

[DOI]

Proceedings of the 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

High-Throughput Approximate Multiplication Models in PyTorch.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Christian Georg Mayr

Int. J. Neural Syst., 2022

Convolutional Neural Networks Quantization with Attention.

[BibT_eX]

[DOI]

Christian Georg Mayr

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks.

[BibT_eX]

[DOI]

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

Neural Architecture Search for Low-Precision Neural Networks.

[BibT_eX]

[DOI]

Christian Mayr

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

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

[BibT_eX]

[DOI]

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

2021

Compiler Toolchains for Deep Learning Workloads on Embedded Platforms.

[BibT_eX]

[DOI]

Max Sponner

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Christian Mayr

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

2020

Autonome Entscheidungsfindung in der Produktionssteuerung komplexer Werkstattfertigungen.

[BibT_eX]

[DOI]