Papers matching “neural network quantization” 33
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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 -
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Niklas Degener, Florian Idrizi, Lennart M. Reimann, +2 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 -
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers2024 IEEE Microwave and Wireless Technology Letters article Engineering Advanced Power Amplifier Design Open access
Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, +2 more
38citations