Q-SpiNN: A Framework for Quantizing Spiking Neural Networks

5 July 2021

Papers citing "Q-SpiNN: A Framework for Quantizing Spiking Neural Networks"

28 / 28 papers shown

Title
SwitchMT: An Adaptive Context Switching Methodology for Scalable Multi-Task Learning in Intelligent Autonomous Agents Avaneesh Devkota Rachmad Vidya Wicaksana Putra Muhammad Shafique 23 0 0 18 Apr 2025
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation Sirine Arfa Bernhard Vogginger Chen Liu Johannes Partzsch Mark Schöne Christian Mayr 24 0 0 09 Apr 2025
QSViT: A Methodology for Quantizing Spiking Vision Transformers Rachmad Vidya Wicaksana Putra Saad Iftikhar Muhammad Shafique MQ 44 0 0 01 Apr 2025
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems Rachmad Vidya Wicaksana Putra Pasindu Wickramasinghe Muhammad Shafique 48 0 0 01 Apr 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 71 2 0 25 Feb 2025
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network Dengyu Wu Yi Qi Kaiwen Cai Gao Jin Xinping Yi Xiaowei Huang 35 3 0 15 Apr 2024
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks Sreyes P. Venkatesh Razvan Marinescu Jason Eshraghian MQ 35 5 0 15 Apr 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 29 6 0 14 Apr 2024
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA Dario Padovano Alessio Carpegna Alessandro Savino S. Di Carlo 40 1 0 04 Apr 2024
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack Rachmad Vidya Wicaksana Putra Alberto Marchisio F. Zayer Jorge Dias Muhammad Shafique 31 10 0 04 Apr 2024
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training Donghyun Lee Ruokai Yin Youngeun Kim Abhishek Moitra Yuhang Li Priyadarshini Panda 21 3 0 15 Jan 2024
HPCNeuroNet: Advancing Neuromorphic Audio Signal Processing with Transformer-Enhanced Spiking Neural Networks Murat Isik Hiruna Vishwamith Kayode Inadagbo I. C. Dikmen 12 6 0 21 Nov 2023
Towards Zero Memory Footprint Spiking Neural Network Training Bin Lei Sheng Lin Pei-Hung Lin C. Liao Caiwen Ding 34 0 0 16 Aug 2023
A Survey of Spiking Neural Network Accelerator on FPGA Murat Isik 11 16 0 08 Jul 2023
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function Ayan Shymyrbay M. Fouda Ahmed M. Eltawil MQ 18 6 0 30 May 2023
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks Ruokai Yin Yuhang Li Abhishek Moitra Priyadarshini Panda MQ 16 10 0 16 May 2023
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 29 5 0 08 Apr 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 24 11 0 08 Apr 2023
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks Clemens J. S. Schaefer Pooria Taheri Mark Horeni Siddharth Joshi 24 11 0 08 Feb 2023
Security-Aware Approximate Spiking Neural Networks Syed Tihaam Ahmad Ayesha Siddique K. A. Hoque AAML 23 2 0 12 Jan 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks Rachmad Vidya Wicaksana Putra Muhammad Shafique 37 6 0 24 Dec 2022
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks Rachmad Vidya Wicaksana Putra Muhammad Shafique 17 6 0 17 Jun 2022
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 26 16 0 24 May 2022
Navigating Local Minima in Quantized Spiking Neural Networks Jason Eshraghian C. Lammie M. R. Azghadi Wei D. Lu 13 16 0 15 Feb 2022
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif 41 32 0 20 Sep 2021
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 18 36 0 23 Aug 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique AAML 31 30 0 01 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 33 45 0 01 Jul 2021