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Author

Mahyar Shahsavari

2 papers indexed here

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Open access Oct 2026

Spike-Driven Neighborhood Attention for Vision Transformers

Spiking Neural Networks (SNNs) promise ultra-low-power, event-driven computation; however, current efforts to integrate self-attention into spiking transformers predominantly rely on global attention mechanisms, introducing growing token complexity when scaling and diluting discriminative feature representations. We in...

Marzieh Hassanshahi Varposhti, Mahyar Shahsavari, M. V. van Gerven · 0 citations
Conference Sep 2026

ADAD: An Energy-Efficient Hardware Solution for Real-Time Anomaly Detection Using Extended Decorrelation-Based Method

This paper presents ADAD, an energy-efficient hardware solution for real-time streaming anomaly detection built on an extended decorrelation-based algorithm (EDAD). EDAD extends a prior decorrelation-based anomaly detector, which operates in a continual-updating regime suited for nonstationary environments, with a Free...

Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet et al. · 0 citations

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