24 citations · 37 across the 2 of their papers we have counts for
3 papers
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel +3
While neural networks have advanced the frontiers in many machine learning applications, they often come at a high computational cost. Reducing the power and latency of neural netw…
A White Paper on Neural Network Quantization
Markus Nagel, Marios Fournarakis, Rana Ali Amjad +3
While neural networks have advanced the frontiers in many applications, they often come at a high computational cost. Reducing the power and latency of neural network inference is…
In-Hindsight Quantization Range Estimation for Quantized Training
Marios Fournarakis, Markus Nagel
Quantization techniques applied to the inference of deep neural networks have enabled fast and efficient execution on resource-constraint devices. The success of quantization durin…