Papers matching “neural network quantization” 25
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Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Advanced Neural Network Applications Open access
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more
0citations -
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more
12citations -
Automated design of error-resilient and hardware-efficient deep neural networks2020 Neural Computing and Applications article Computer Science Advanced Neural Network Applications Open access cited by 2 patents
Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid
40citations -
QS4D: Quantization-Aware Training for Efficient Hardware Deployment of Structured State-Space Sequential Models2026 Advanced Intelligent Systems article Computer Science Advanced Neural Network Applications Open access
Sebastian Siegel, Ming-Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan
0citations -
QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models2026 Advanced Intelligent Systems article Computer Science Advanced Neural Network Applications Open access
Sebastian Siegel, Ming-Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan
1citations -
Deep data compression for approximate ultrasonic image formation2020 Utrecht University Repository (Utrecht University) book Computer Science Advanced Data Compression Techniques Open access
Georgios Pilikos, Lars Hörchens, K.J. Batenburg, T. van Leeuwen, Felix Lucka, Mathematical Modeling, +1 more
9citations -
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer2024 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Advanced Neural Network Applications Open access
Yi Chen, Jie Lou, Malte Wabnitz, Johnson Loh, Tobias Gemmeke
7citations
25 results