| A white paper on neural network quantization M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M Van Baalen, ... arXiv preprint arXiv:2106.08295, 2021 | 318 | 2021 |
| Understanding and Overcoming the Challenges of Efficient Transformer Quantization Y Bondarenko, M Nagel, T Blankevoort arXiv preprint arXiv:2109.12948, 2021 | 84 | 2021 |
| Overcoming oscillations in quantization-aware training M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort International Conference on Machine Learning, 16318-16330, 2022 | 48 | 2022 |
| 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 | 24 | |
| Quantizable transformers: Removing outliers by helping attention heads do nothing Y Bondarenko, M Nagel, T Blankevoort Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| 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 |
