In-Hindsight Quantization Range Estimation for Quantized Training. - Marios Fournarakis; Markus Nagel (CVPR Workshops, 2021)

A White Paper on Neural Network Quantization. - Markus Nagel; Marios Fournarakis; Rana Ali Amjad; Yelysei Bondarenko; Mart van Baalen; Tijmen Blankevoort (CoRR, 2021)

Overcoming Oscillations in Quantization-Aware Training. - Markus Nagel; Marios Fournarakis; Yelysei Bondarenko; Tijmen Blankevoort (ICML, 2022)

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). - Sangeetha Siddegowda; Marios Fournarakis; Markus Nagel; Tijmen Blankevoort; Chirag Patel; Abhijit Khobare (CoRR, 2022)

Softmax Bias Correction for Quantized Generative Models. - Nilesh Prasad Pandey; Marios Fournarakis; Chirag Patel; Markus Nagel (ICCV (Workshops), 2023)

QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. - Jorn Peters; Marios Fournarakis; Markus Nagel; Mart van Baalen; Tijmen Blankevoort (ICCV (Workshops), 2023)

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. - Kartik Gupta; Marios Fournarakis; Matthias Reisser; Christos Louizos; Markus Nagel (Trans. Mach. Learn. Res., 2023)