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Markus Nagel
Markus Nagel
Qualcomm AI Research
Verified email at 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 International Conference on Computer Vision, 1325-1334, 2019
2392019
Up or Down? Adaptive Rounding for Post-Training Quantization
M Nagel, RA Amjad, M van Baalen, C Louizos, T Blankevoort
Proceedings of the 37th International Conference on Machine Learning, 2020
752020
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
522020
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
342020
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams.
M Nagel, T Mensink, CGM Snoek
BMVC 2, 6, 2015
292015
Beam Loss Monitoring for LHC Machine Protection
EB Holzer, B Dehning, E Effnger, J Emery, V Grishin, C Hajdu, S Jackson, ...
Physics Procedia 37, 2055-2062, 2012
292012
A White Paper on Neural Network Quantization
M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M van Baalen, ...
arXiv preprint arXiv:2106.08295, 2021
222021
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
A Kuzmin, M Nagel, S Pitre, S Pendyam, T Blankevoort, M Welling
arXiv preprint arXiv:1912.09802, 2019
142019
Implicit Neural Video Compression
Y Zhang, T van Rozendaal, J Brehmer, M Nagel, T Cohen
arXiv preprint arXiv:2112.11312, 2021
22021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
Y Bondarenko, M Nagel, T Blankevoort
arXiv preprint arXiv:2109.12948, 2021
22021
Handling of the LHC Beam Loss Monitoring system abort thresholds
E Nebot, B Dehning, EB Holzer, S Jackson, G Kruk, M Nagel, M Nemcic, ...
2011 IEEE Nuclear Science Symposium Conference Record, 477-481, 2011
22011
Analytic And Empirical Correction Of Biased Error Introduced By Approximation Methods
MW Van Baalen, TPF Blankevoort, M Nagel
US Patent App. 16/826,472, 2020
12020
DATA-AWARE LAYER DECOMPOSITION FOR NEURAL NETWORK COMPRESSION
M Nagel, TPF Blankevoort
US Patent App. 16/299,375, 2020
12020
Overcoming Oscillations in Quantization-Aware Training
M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort
arXiv preprint arXiv:2203.11086, 2022
2022
Cyclical Pruning for Sparse Neural Networks
S Srinivas, A Kuzmin, M Nagel, M van Baalen, A Skliar, T Blankevoort
arXiv preprint arXiv:2202.01290, 2022
2022
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
2022
Quantized sparse PCA for neural network weight compression
A Kuzmin, M Van Baalen, M Nagel, A Behboodi
2021
In-Hindsight Quantization Range Estimation for Quantized Training
M Fournarakis, M Nagel
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Systems and Methods of Cross Layer Rescaling for Improved Quantization Performance
M Nagel, MW Van Baalen, TPF Blankevoort
US Patent App. 16/826,524, 2020
2020
Meta Fisher Vector for event recognition in generative encoded visual streams
M Nagel
2015
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