Author

Zhi-Chao Lu

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Preprint Sep 2026

Large Language Model-Guided Evolutionary Discovery of Native Neural Architectures for Spiking Sequence Modeling

Spiking neural networks (SNNs) offer low-energy sequence modeling through sparse, event-driven computation. However, interactions among spike encoding, neuronal dynamics, and information propagation complicate architecture design. Existing SNN sequence models often adapt artificial neural network (ANN) architectures de...

Ruo-Yu Zhao, Jia-Qi Wu, Chen-Yu Zhu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Neural Spectral Capacity: Measuring and Designing Architectures from Network Specification Alone

This work proposes Neural Spectral Capacity (NSC), a closed-form scalar grounded in the singular-value spectrum of each weight matrix, which outperforms #Params, #FLOPs, and representative training-free proxies in ranking across seven Transformer and CNN families.

Chen-Yu Zhu, Ruo-Yu Zhao, Zhi-Chao Lu · 0 citations