:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Yung-Chin, Lee, Chung Peng, Liou, Ze-Wei, Verma, Naveen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2606.02288
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
by: Yang, Jaewoo, et al.
Published: (2024)

Quantization of Spiking Neural Networks Beyond Accuracy
by: Smith, Evan Gibson, et al.
Published: (2026)

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
by: Abad, Gorka, et al.
Published: (2023)

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation
by: Guo, Sihang, et al.
Published: (2026)

Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
by: Zhang, Chi, et al.
Published: (2025)

Pyramid Vector Quantization for LLMs
by: van der Ouderaa, Tycho F. A., et al.
Published: (2024)

QSViT: A Methodology for Quantizing Spiking Vision Transformers
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2025)

Energy-Efficient and Dequantization-Free Q-LLMs: A Spiking Neural Network Approach to Salient Value Mitigation
by: Wang, Chenyu, et al.
Published: (2025)

Noisy Spiking Actor Network for Exploration
by: Chen, Ding, et al.
Published: (2024)

Decision SpikeFormer: Spike-Driven Transformer for Decision Making
by: Huang, Wei, et al.
Published: (2025)

SpikingBrain: Spiking Brain-inspired Large Models
by: Pan, Yuqi, et al.
Published: (2025)

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
by: Zhang, Chuhan, et al.
Published: (2025)

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)

SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
by: Venkatesh, Sreyes, et al.
Published: (2024)

SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays
by: Koopman, Roel, et al.
Published: (2026)

Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
by: Yuan, Xinzhe, et al.
Published: (2026)

Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer
by: Wang, Jingya, et al.
Published: (2025)

Deep Reinforcement Learning with Spiking Q-learning
by: Chen, Ding, et al.
Published: (2022)

ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
by: Xiao, Shiting, et al.
Published: (2024)

Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2025)

Spiking Heterogeneous Graph Attention Networks
by: Cao, Buqing, et al.
Published: (2025)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
by: Xing, Xingrun, et al.
Published: (2024)

When Prompting Meets Spiking: Graph Sparse Prompting via Spiking Graph Prompt Learning
by: Jiang, Bo, et al.
Published: (2026)

Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2026)

Spiking Vocos: An Energy-Efficient Neural Vocoder
by: Chen, Yukun, et al.
Published: (2025)

On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
by: Moshruba, Ayana, et al.
Published: (2025)

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
by: Tang, Kaiwen, et al.
Published: (2026)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
by: Xing, Xingrun, et al.
Published: (2024)

Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks
by: Bai, Dewei, et al.
Published: (2026)

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
by: Ottati, Fabrizio, et al.
Published: (2023)

Mitigating Cognitive Inertia in Large Reasoning Models via Latent Spike Steering
by: Lee, Seojin, et al.
Published: (2026)

SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
by: Sun, Yundong, et al.
Published: (2024)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
by: Li, Jinhao, et al.
Published: (2026)

Spiking Manifesto
by: Izhikevich, Eugene
Published: (2025)

SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
by: Kartashov, Ivan, et al.
Published: (2025)

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
by: Li, Boyan, et al.
Published: (2023)