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cs.LG2025
Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
Lion Mueller, Alberto Garcia-Ortiz, Ardalan Najafi +2
Integer AI inference significantly reduces computational complexity in embedded systems. Quantization-aware training (QAT) helps mitigate accuracy degradation associated with post-…
cs.LG2023
Exploiting Neural-Network Statistics for Low-Power DNN Inference
Lennart Bamberg, Ardalan Najafi, Alberto Garcia-Ortiz
Specialized compute blocks have been developed for efficient DNN execution. However, due to the vast amount of data and parameter movements, the interconnects and on-chip memories…