Saved in:
| Main Authors: | Wang, Chenyu, Yan, Zhanglu, Zhou, Zhi, Chen, Xu, Wong, Weng-Fai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.19498 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kirin: Improving ANN efficiency with SNN Hybridization
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
by: Tang, Kaiwen, et al.
Published: (2024)
by: Tang, Kaiwen, et al.
Published: (2024)
Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2026)
by: Yan, Zhanglu, et al.
Published: (2026)
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2025)
by: Yan, Zhanglu, et al.
Published: (2025)
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
by: Yan, Zhanglu, et al.
Published: (2024)
by: Yan, Zhanglu, et al.
Published: (2024)
SpikySpace: A Spiking State Space Model for Energy-Efficient Time Series Forecasting
by: Tang, Kaiwen, et al.
Published: (2026)
by: Tang, Kaiwen, et al.
Published: (2026)
Reconsidering the energy efficiency of spiking neural networks
by: Yan, Zhanglu, et al.
Published: (2024)
by: Yan, Zhanglu, et al.
Published: (2024)
ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
by: Tang, Kaiwen, et al.
Published: (2026)
by: Tang, Kaiwen, et al.
Published: (2026)
Loss Spike in Training Neural Networks
by: Li, Xiaolong, et al.
Published: (2023)
by: Li, Xiaolong, et al.
Published: (2023)
Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference
by: Zheng, Lingchao, et al.
Published: (2026)
by: Zheng, Lingchao, et al.
Published: (2026)
Spiking Vocos: An Energy-Efficient Neural Vocoder
by: Chen, Yukun, et al.
Published: (2025)
by: Chen, Yukun, et al.
Published: (2025)
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
by: Suetake, Kazuma, et al.
Published: (2023)
by: Suetake, Kazuma, et al.
Published: (2023)
TP-Aware Dequantization
by: Hoque, Adnan, et al.
Published: (2024)
by: Hoque, Adnan, et al.
Published: (2024)
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs
by: Varposhti, Marzieh Hassanshahi, et al.
Published: (2024)
by: Varposhti, Marzieh Hassanshahi, et al.
Published: (2024)
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
by: Mentzelopoulos, Georgios, et al.
Published: (2025)
by: Mentzelopoulos, Georgios, et al.
Published: (2025)
Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization
by: Chen, Yung-Chin, et al.
Published: (2026)
by: Chen, Yung-Chin, et al.
Published: (2026)
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)
by: Xu, Qi, et al.
Published: (2025)
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
AXELRAM: Quantize Once, Never Dequantize
by: Nishida, Yasushi
Published: (2026)
by: Nishida, Yasushi
Published: (2026)
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)
by: Wang, Kexin, et al.
Published: (2024)
A Closer Look at Knowledge Distillation in Spiking Neural Network Training
by: Liu, Xu, et al.
Published: (2025)
by: Liu, Xu, et al.
Published: (2025)
Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
by: Li, Jiachen, et al.
Published: (2025)
by: Li, Jiachen, et al.
Published: (2025)
SPARQ: Spiking Early-Exit Neural Networks for Energy-Efficient Edge AI
by: Patne, Parth, et al.
Published: (2026)
by: Patne, Parth, et al.
Published: (2026)
An Energy-Efficient Spiking Neural Network Architecture for Predictive Insulin Delivery
by: Shrivastava, Sahil
Published: (2026)
by: Shrivastava, Sahil
Published: (2026)
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation
by: Chen, Tianyi, et al.
Published: (2024)
by: Chen, Tianyi, et al.
Published: (2024)
Multiple Population Alternate Evolution Neural Architecture Search
by: Zou, Juan, et al.
Published: (2024)
by: Zou, Juan, et al.
Published: (2024)
Delays in Spiking Neural Networks: A State Space Model Approach
by: Karilanova, Sanja, et al.
Published: (2025)
by: Karilanova, Sanja, et al.
Published: (2025)
Energy-Efficient Deep Reinforcement Learning with Spiking Transformers
by: Uddin, Mohammad Irfan, et al.
Published: (2025)
by: Uddin, Mohammad Irfan, et al.
Published: (2025)
PEARL: Towards Permutation-Resilient LLMs
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
Reward-Weighted On-Policy Distillation with an Open Property-Equivalence Verifier for NL-to-SVA Generation
by: Zou, Qingyun, et al.
Published: (2026)
by: Zou, Qingyun, et al.
Published: (2026)
Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
by: Li, Jinhao, et al.
Published: (2026)
by: Li, Jinhao, et al.
Published: (2026)
Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
by: Guo, Longfei, et al.
Published: (2026)
by: Guo, Longfei, et al.
Published: (2026)
HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning
by: Zou, Qingyun, et al.
Published: (2026)
by: Zou, Qingyun, et al.
Published: (2026)
Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture
by: García-Vico, Ángel Miguel, et al.
Published: (2025)
by: García-Vico, Ángel Miguel, et al.
Published: (2025)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs
by: Yang, Jaewoo, et al.
Published: (2024)
by: Yang, Jaewoo, et al.
Published: (2024)
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
by: Li, Yi-Chen, et al.
Published: (2024)
by: Li, Yi-Chen, et al.
Published: (2024)
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)
by: Jahin, Md Abrar, et al.
Published: (2026)
An Integrated Approach to Neural Architecture Search for Deep Q-Networks
by: Rahmani, Iman, et al.
Published: (2025)
by: Rahmani, Iman, et al.
Published: (2025)
Similar Items
-
Kirin: Improving ANN efficiency with SNN Hybridization
by: Wang, Chenyu, et al.
Published: (2026) -
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
by: Tang, Kaiwen, et al.
Published: (2024) -
Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2026) -
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
by: Yan, Zhanglu, et al.
Published: (2025) -
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
by: Yan, Zhanglu, et al.
Published: (2024)