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Marios Fournarakis
Marios Fournarakis
Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
A white paper on neural network quantization
M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M Van Baalen, ...
arXiv preprint arXiv:2106.08295, 2021
942021
Overcoming oscillations in quantization-aware training
M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort
International Conference on Machine Learning, 16318-16330, 2022
102022
Neural network quantization with ai model efficiency toolkit (aimet)
S Siddegowda, M Fournarakis, M Nagel, T Blankevoort, C Patel, ...
arXiv preprint arXiv:2201.08442, 2022
52022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel
arXiv preprint arXiv:2206.10844, 2022
12022
In-Hindsight Quantization Range Estimation for Quantized Training
M Fournarakis, M Nagel
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Quantizing Neural Networks for Low-Power Computer Vision
M Fournarakis, M Nagel, RA Amjad, Y Bondarenko, M van Baalen, ...
Low-Power Computer Vision, 235-272, 0
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