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Author

Hamza Errahmouni Barkam

2 papers indexed here

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Book Open access Aug 2026

Vector-Space Projection and Unified Complex-Valued Acceleration for Scaling Matrix-Based Brain-Inspired Representations

This work proposes a flattening methodology that preserves GHRR's matrix-based encoding while executing training and inference directly in vector space, functionally equivalent to FHRR inference yet free of permutation logic.

William Youngwoo Chung, Hyunwoo Oh, Calvin Yeung et al. · 0 citations
Book Open access Aug 2026

Integrating Symbolic and Neural Mechanisms for Adversarially Robust Hyperdimensional Computing

Across CIFAR10, COIL100, and ETH80 under FGSM and Genetic Attack, ViT + Classical HDC degrades more gracefully than Pure HDC and ViT + HDC baselines, and achieves higher normalized AURC, lower attack-time decision margins, and larger gains from partial adversarial retraining.

Hamza Errahmouni Barkam, Salaar Saraj, Zhen Ye et al. · 0 citations

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