Data-free quantization through weight equalization and bias correction M Nagel, M Baalen, T Blankevoort, M Welling
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
499 2019 Up or down? adaptive rounding for post-training quantization M Nagel, RA Amjad, M Van Baalen, C Louizos, T Blankevoort
International Conference on Machine Learning, 7197-7206, 2020
376 2020 A white paper on neural network quantization M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M Van Baalen, ...
arXiv preprint arXiv:2106.08295, 2021
315 2021 Bayesian bits: Unifying quantization and pruning M Van Baalen, C Louizos, M Nagel, RA Amjad, Y Wang, T Blankevoort, ...
Advances in neural information processing systems 33, 5741-5752, 2020
106 2020 Gradient M Alizadeh, A Behboodi, M Van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
58 2020 Fp8 quantization: The power of the exponent A Kuzmin, M Van Baalen, Y Ren, M Nagel, J Peters, T Blankevoort
Advances in Neural Information Processing Systems 35, 14651-14662, 2022
38 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 Deep matrix factorization for recommendation M van Baalen
Master's Thesis, Univ. of Amsterdam, Sep 30, 2016
20 2016 Cyclical pruning for sparse neural networks S Srinivas, A Kuzmin, M Nagel, M van Baalen, A Skliar, T Blankevoort
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12 2022 Fp8 versus int8 for efficient deep learning inference M van Baalen, A Kuzmin, SS Nair, Y Ren, E Mahurin, C Patel, ...
arXiv preprint arXiv:2303.17951, 2023
11 2023 Simulated quantization, real power savings M van Baalen, B Kahne, E Mahurin, A Kuzmin, A Skliar, M Nagel, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
8 2022 A practical mixed precision algorithm for post-training quantization NP Pandey, M Nagel, M van Baalen, Y Huang, C Patel, T Blankevoort
arXiv preprint arXiv:2302.05397, 2023
7 2023 Pruning vs Quantization: Which is Better? A Kuzmin, M Nagel, M Van Baalen, A Behboodi, T Blankevoort
Advances in Neural Information Processing Systems 36, 2024
6 2024 The llm surgeon TFA van der Ouderaa, M Nagel, M Van Baalen, YM Asano, T Blankevoort
arXiv preprint arXiv:2312.17244, 2023
2 2023 Quantized sparse weight decomposition for neural network compression A Kuzmin, M van Baalen, M Nagel, A Behboodi
arXiv preprint arXiv:2207.11048, 2022
2 2022 QBitOpt: Fast and Accurate Bitwidth Reallocation during Training J Peters, M Fournarakis, M Nagel, M Van Baalen, T Blankevoort
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1 2023 GPTVQ: The Blessing of Dimensionality for LLM Quantization M van Baalen, A Kuzmin, M Nagel, P Couperus, C Bastoul, E Mahurin, ...
arXiv preprint arXiv:2402.15319, 2024
2024 A Practical Mixed Precision Algorithm for Post-Training Quantization N Prasad Pandey, M Nagel, M van Baalen, Y Huang, C Patel, ...
arXiv e-prints, arXiv: 2302.05397, 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 Quantized sparse PCA for neural network weight compression A Kuzmin, M Van Baalen, M Nagel, A Behboodi
2021 