MB
Mart van Baalen
cs.LGcs.CVcs.AIstat.MLcs.CLcs.AR
On Valency
published · living versionsW_jwjz8qee·v1 · currentpublished
SQuAT: Spherical Lattice Vector Quantization-Aware Training
with Sebastian Loeschcke, Ivan Koryakovskiy, Tycho F. A. van der Ouderaa, Riccardo Del Chiaro +2
1 version
Preprints & journals
19 papers in the corpus · 2019–2026Leech Lattice Vector Quantization for Efficient LLM Compression2603.11021v2 · Tycho F. A. van der Ouderaa, Mart van Baalen, Paul Whatmough et al.2026 · 0 citationsarXiv
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking2412.01380v2 · Marco Federici, Davide Belli, Mart van Baalen et al.2024 · 0 citationsarXiv
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference2412.00099v2 · Andrii Skliar, Ties van Rozendaal, Romain Lepert et al.2024 · 1 citationarXiv
Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters2407.16712v1 · Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi et al.2024 · 0 citationsarXiv
Sparse High Rank Adapters2406.13175v2 · Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi et al.2024 · 3 citationsarXiv
GPTVQ: The Blessing of Dimensionality for LLM Quantization2402.15319v2 · Mart van Baalen, Andrey Kuzmin, Ivan Koryakovskiy et al.2024 · 2 citationsarXiv
The LLM Surgeon2312.17244v2 · Tycho F.A. van der Ouderaa, Markus Nagel, Mart van Baalen et al.2023 · 0 citationsarXiv
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training2307.04535v1 · Jorn Peters, Marios Fournarakis, Markus Nagel et al.2023 · 5 citationsarXiv
Pruning vs Quantization: Which is Better?2307.02973v2 · Andrey Kuzmin, Markus Nagel, Mart van Baalen et al.2023 · 58 citationsarXiv
FP8 versus INT8 for efficient deep learning inference2303.17951v2 · Mart van Baalen, Andrey Kuzmin, Suparna S Nair et al.2023 · 24 citationsarXiv
A Practical Mixed Precision Algorithm for Post-Training Quantization2302.05397v1 · Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen et al.2023 · 9 citationsarXiv
FP8 Quantization: The Power of the Exponent2208.09225v2 · Andrey Kuzmin, Mart Van Baalen, Yuwei Ren et al.2022 · 24 citationsarXiv
Quantized Sparse Weight Decomposition for Neural Network Compression2207.11048v1 · Andrey Kuzmin, Mart van Baalen, Markus Nagel et al.2022 · 3 citationsarXiv
Cyclical Pruning for Sparse Neural Networks2202.01290v1 · Suraj Srinivas, Andrey Kuzmin, Markus Nagel et al.2022 · 20 citationsarXiv
A White Paper on Neural Network Quantization2106.08295v1 · Markus Nagel, Marios Fournarakis, Rana Ali Amjad et al.2021 · 323 citationsarXiv
Bayesian Bits: Unifying Quantization and Pruning2005.07093v3 · Mart van Baalen, Christos Louizos, Markus Nagel et al.2020 · 76 citationsarXiv
Up or Down? Adaptive Rounding for Post-Training Quantization2004.10568v2 · Markus Nagel, Rana Ali Amjad, Mart van Baalen et al.2020 · 246 citationsarXiv
Gradient Regularization for Quantization Robustness2002.07520v1 · Milad Alizadeh, Arash Behboodi, Mart van Baalen et al.2020 · 10 citationsarXiv
Data-Free Quantization Through Weight Equalization and Bias Correction1906.04721v3 · Markus Nagel, Mart van Baalen, Tijmen Blankevoort et al.2019 · 500 citationsThe IEEE International Conference on Computer Vision (ICCV), 2019
Career total: 23 works. 19 are in this corpus.
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