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Riemannian Geometry-Sensitive Quantization (RGSQ), which formulates quantization as a reconstruction problem under a unified Fisher-Riemannian metric, enabling standard unimodal PTQ methods to evaluate multimodal quantization error under their original assumptions.
Autonomous racecars can now learn tire dynamics 71% faster and with 60% higher accuracy by "seeing" the road surface and remembering past driving behavior.
