Author

Prasad Deshpande

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Preprint Sep 2026

SCULPT: Training Edge Vision Models for Post-Training Quantization Readiness

This work presents SCULPT (Statistical Clipping and Uniform Loss for Post-Training), a training-time method that improves PTQ readiness during ordinary FP32 fine-tuning and combines a topology-aware activation regularizer that suppresses quantization-hostile skewness and kurtosis with a stable percentile-based clipping...

Bharadwaj Kavuri, Sourav Babu-PK, Varadhraj Ellapan et al. · 0 citations