Derandomizing Dense Binary Hypervector Codebooks for Quantized Scalars
cs.IT, cs.AI, cs.NE, math.IT
Submitted: 2026-09-29
Updated: 2026-09-29
Sources
- Learning from Hypervectors: A Survey on Hypervector Encoding
- Capacity Analysis of Vector Symbolic Architectures
- Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
- Encoding Data for HTM Systems
- Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Related papers
- Language Modeling is Monotone Compression
- Clipped Affine Policy: Low-Complexity Near-Optimal Online Power Control for Energy Harvesting Communications over Fading Channels
- Discrepancy for Random Linear Codes
- A New Approach to Code Smoothing Bounds
- Contextual Memory-Enhanced Source Coding for Low-SNR Communications
- Symmetry-Enforced Quadratic Approximate-Degradability Bounds for Noisy Landau-Streater Channels