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2020 – today
- 2024
[c11]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
The LLM Surgeon. ICLR 2024- [i16]Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough:
GPTVQ: The Blessing of Dimensionality for LLM Quantization. CoRR abs/2402.15319 (2024) - [i15]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Sparse High Rank Adapters. CoRR abs/2406.13175 (2024) - [i14]Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Rafael Esteves, Shreya Kadambi, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel:
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. CoRR abs/2407.16712 (2024) - 2023
- [c10]Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort:
A Practical Mixed Precision Algorithm for Post-Training Quantization. BMVC Workshop 2023 - [c9]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) 2023: 1274-1283 - [c8]Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? NeurIPS 2023 - [i13]Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort:
A Practical Mixed Precision Algorithm for Post-Training Quantization. CoRR abs/2302.05397 (2023) - [i12]Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort:
FP8 versus INT8 for efficient deep learning inference. CoRR abs/2303.17951 (2023) - [i11]Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? CoRR abs/2307.02973 (2023) - [i10]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR abs/2307.04535 (2023) - [i9]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort:
The LLM Surgeon. CoRR abs/2312.17244 (2023) - 2022
- [c7]Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort:
Simulated Quantization, Real Power Savings. CVPR Workshops 2022: 2756-2760 - [c6]Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CVPR Workshops 2022: 2761-2770 - [c5]Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort:
FP8 Quantization: The Power of the Exponent. NeurIPS 2022 - [i8]Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CoRR abs/2202.01290 (2022) - [i7]Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi:
Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR abs/2207.11048 (2022) - [i6]Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort:
FP8 Quantization: The Power of the Exponent. CoRR abs/2208.09225 (2022) - 2021
- [i5]Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort:
A White Paper on Neural Network Quantization. CoRR abs/2106.08295 (2021) - 2020
- [c4]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR 2020 - [c3]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. ICML 2020: 7197-7206 - [c2]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. NeurIPS 2020 - [i4]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient 𝓁1 Regularization for Quantization Robustness. CoRR abs/2002.07520 (2020) - [i3]Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR abs/2004.10568 (2020) - [i2]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. CoRR abs/2005.07093 (2020)
2010 – 2019
- 2019
- [c1]Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization Through Weight Equalization and Bias Correction. ICCV 2019: 1325-1334 - [i1]Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization through Weight Equalization and Bias Correction. CoRR abs/1906.04721 (2019)
Coauthor Index
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last updated on 2024-08-20 23:01 CEST by the dblp team
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