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Mart van Baalen
Mart van Baalen
Other namesMarinus van Baalen, Marinus Willem van Baalen
Research Scientist (Senior Staff), Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
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
4912019
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
3632020
A white paper on neural network quantization
M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M Van Baalen, ...
arXiv preprint arXiv:2106.08295, 2021
3052021
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
1002020
Gradient Regularization for Quantization Robustness
M Alizadeh, A Behboodi, M Van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
582020
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
362022
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
22
Deep matrix factorization for recommendation
M van Baalen
Master's Thesis, Univ. of Amsterdam, Sep 30, 2016
202016
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
112023
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
112022
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
82022
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
62024
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
62023
Quantized sparse weight decomposition for neural network compression
A Kuzmin, M van Baalen, M Nagel, A Behboodi
arXiv preprint arXiv:2207.11048, 2022
22022
The llm surgeon
TFA van der Ouderaa, M Nagel, M Van Baalen, YM Asano, T Blankevoort
arXiv preprint arXiv:2312.17244, 2023
12023
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
12023
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
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