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Papers matching “neural network quantization” 49

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Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more

0

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

8

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

0

citations
Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kartikey Ahlawat

0

citations
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
2025 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

0

citations
Fully Convolutional Neural Network-Based CSI Limited Feedback for FDD Massive MIMO Systems
2021 IEEE Transactions on Cognitive Communications and Networking article Engineering Advanced MIMO Systems Optimization

Guanghui Fan, Jinlong Sun, Guan Gui, Haris Gacanin, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki

28

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2021 IEEE Access article Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

32

citations
FPGA-Powered Environment Awareness via Quantized Neural Networks for LiDAR-Aided mm-Wave Beam Prediction
2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) conference-paper Engineering Millimeter-Wave Propagation and Modeling

Arish Sateesan, Ljiljana Simić

1

citations
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case
2021 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

12

citations
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
2021 International Conference on Pattern Recognition Applications and Methods conference-paper Computer Science Advanced Neural Network Applications Open access cited by 2 patents

9

citations
Implementing neural networks in low-latency audio applications
2023 The Journal of the Acoustical Society of America conference-abstract Computer Science Speech Recognition and Synthesis

Thiago Henrique Gomes Lobato, Roland Sottek, Michael Vorländer

0

citations
ArchE-Q: A DSP-Free Dataflow Accelerator for Quantized Neural Networks in Sensor-Aided Millimeter-Wave Edge Connectivity
2026 Design, Automation, and Test in Europe conference-paper Computer Science Embedded Systems Design Techniques Open access

Arish Sateesan, Ljiljana Simić, Marina Petrova

0

citations
Automated design of error-resilient and hardware-efficient deep neural networks
2020 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

40

citations
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks
2020 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke

15

citations
Efficiency and scalability exploration of an application-specific instruction-set processor for deep convolutional neural networks
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Andreas Bytyn

0

citations
Meta-learning spiking neural networks with surrogate gradient descent
2022 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Emre Neftci

38

citations
QS4D: Quantization-Aware Training for Efficient Hardware Deployment of Structured State-Space Sequential Models
2026 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

0

citations
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems
2022 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xixi Zhang, Haitao Zhao, Hongbo Zhu, Bamidele Adebisi, Guan Gui, Haris Gacanin, +1 more

115

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

0

citations
GUPrecision: Group-Wise Uniform Precision Accelerator for Depthwise Separable Convolution using Hardware-Algorithm Co-Design
2026 ACM Great Lakes Symposium on VLSI (GLSVLSI) conference-paper Computer Science Advanced Neural Network Applications Open access

Yi Chen, Jie Lou, Malte Wabnitz, Tobias Gemmeke

1

citations
QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models
2026 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

1

citations
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
2022 International Conference on Field Programmable Logic and Applications (FPL) conference-paper Computer Science Advanced Neural Network Applications

Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke

16

citations
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke

1

citations
Influence of Image Quantization on the Sim-to-Real Gap of Synthetically Trained Deep Learning Models
2026 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Advanced Neural Network Applications

Alexander Moriz, Meike Huber, Robert Heinrich Schmitt

0

citations
Exploring Hardware-Efficient Architectures of Golomb–Rice Decoder for TinyML Applications
2025 Journal of Circuits Systems and Computers article Computer Science Advanced Neural Network Applications

Mounika Vaddeboina, Alper Yilmazer, Wolfgang Ecker

0

citations