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Yelysei Bondarenko
Yelysei Bondarenko
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
3372021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
Y Bondarenko, M Nagel, T Blankevoort
arXiv preprint arXiv:2109.12948, 2021
892021
Overcoming oscillations in quantization-aware training
M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort
International Conference on Machine Learning, 16318-16330, 2022
522022
A white paper on neural network quantization. arXiv 2021
M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M van Baalen, ...
arXiv preprint arXiv:2106.08295, 0
25
Quantizable transformers: Removing outliers by helping attention heads do nothing
Y Bondarenko, M Nagel, T Blankevoort
Advances in Neural Information Processing Systems 36, 2024
212024
Per-embedding-group activation quantization
Y Bondarenko, M Nagel, TPF Blankevoort
US Patent App. 17/976,683, 2023
2023
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, 2022
2022
Quantum Variational Learning of Generative Neural Networks (MSc thesis)
Y Bondarenko
TU Munich, 2019
2019
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