Marios Fournarakis

According to our database, Marios Fournarakis authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

QBitOpt: Fast and Accurate Bitwidth Reallocation during Training.

Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Softmax Bias Correction for Quantized Generative Models.

Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET).

Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare

CoRR, 2022

Overcoming Oscillations in Quantization-Aware Training.

Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort

Proceedings of the International Conference on Machine Learning, 2022

2021

A White Paper on Neural Network Quantization.

Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort

CoRR, 2021

In-Hindsight Quantization Range Estimation for Quantized Training.

Marios Fournarakis, Markus Nagel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021