Fast methods for computing selected elements of the Green’s function in massively parallel nanoelectronic device simulations A Kuzmin, M Luisier, O Schenk Euro-Par 2013 Parallel Processing: 19th International Conference, Aachen …, 2013 | 191 | 2013 |
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 | 51 | 2022 |
End-to-end learning of cost-volume aggregation for real-time dense stereo A Kuzmin, D Mikushin, V Lempitsky 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 32 | 2017 |
Multi-frame elastography using a handheld force-controlled ultrasound probe A Kuzmin, AM Zakrzewski, BW Anthony, V Lempitsky IEEE transactions on ultrasonics, ferroelectrics, and frequency control 62 …, 2015 | 25 | 2015 |
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 | 23 | 2023 |
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 | 22 | 2019 |
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 | 18 | 2024 |
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 | 15 | 2022 |
A single element 3D ultrasound tomography system X Zhang, J Fincke, A Kuzmin, V Lempitsky, B Anthony 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 14 | 2015 |
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 | 9 | 2022 |
Modelling photonic crystal waveguides using finite volume method TZ Ismagilov, AI Kuzmin Proceedings of the International Conference Days on Diffraction 2011, 87-91, 2011 | 5 | 2011 |
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 | 3 | 2024 |
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 |