| 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 | 332 | 2019 |
| 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 | 164 | 2020 |
| 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 | 102 | 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 | 99 | 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 | 56 | 2020 |
| 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 | 34 | 2012 |
| Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. M Nagel, T Mensink, CGM Snoek BMVC 2, 6, 2015 | 30 | 2015 |
| Understanding and Overcoming the Challenges of Efficient Transformer Quantization Y Bondarenko, M Nagel, T Blankevoort arXiv preprint arXiv:2109.12948, 2021 | 21 | 2021 |
| Implicit Neural Video Compression Y Zhang, T van Rozendaal, J Brehmer, M Nagel, T Cohen arXiv preprint arXiv:2112.11312, 2021 | 19 | 2021 |
| 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 | 18 | 2019 |
| Overcoming Oscillations in Quantization-Aware Training M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort International Conference on Machine Learning, 16318-16330, 2022 | 10 | 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 | 5 | 2022 |
| 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 | 4 | 2022 |
| FP8 Quantization: The Power of the Exponent A Kuzmin, M Van Baalen, Y Ren, M Nagel, J Peters, T Blankevoort arXiv preprint arXiv:2208.09225, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
| 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 | 2 | 2020 |
| DATA-AWARE LAYER DECOMPOSITION FOR NEURAL NETWORK COMPRESSION M Nagel, TPF Blankevoort US Patent App. 16/299,375, 2020 | 2 | 2020 |
| 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 | 2 | 2011 |
| Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel arXiv preprint arXiv:2206.10844, 2022 | 1 | 2022 |
| In-Hindsight Quantization Range Estimation for Quantized Training M Fournarakis, M Nagel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1 | 2021 |
Tijmen BlankevoortQualcomm AI ResearchVerified email at qti.qualcomm.com
