MN
Markus Nagel
cs.LGcs.CVcs.AIcs.CLstat.MLcs.ARcs.DCcs.PFcs.SEeess.IV
On Valency
published · living versionsW_r72x54u6·v1 · currentpublished
A Unified Hessian-Guided Framework for Post-Training Quantization
with Mads Toftrup, Marco Federici, Boris van Breugel, Paul Whatmough
1 version
W_jwjz8qee·v1published
Preprints & journals
37 papers in the corpus · 2019–2026Efficient Reasoning on the Edge2603.16867v2 · Yelysei Bondarenko, Thomas Hehn, Rob Hesselink et al.2026 · 0 citationsarXiv
Leech Lattice Vector Quantization for Efficient LLM Compression2603.11021v2 · Tycho F. A. van der Ouderaa, Mart van Baalen, Paul Whatmough et al.2026 · 0 citationsarXiv
Dissecting Quantization Error: A Concentration-Alignment Perspective2603.04359v2 · Marco Federici, Boris van Breugel, Paul Whatmough et al.2026 · 0 citationsarXiv
STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization2510.26771v1 · Marco Federici, Riccardo Del Chiaro, Boris van Breugel et al.2025 · 0 citationsarXiv
HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations2506.09932v2 · Marco Federici, Riccardo Del Chiaro, Boris van Breugel et al.2025 · 0 citationsarXiv
FPTQuant: Function-Preserving Transforms for LLM Quantization2506.04985v2 · Boris van Breugel, Yelysei Bondarenko, Paul Whatmough et al.2025 · 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
Low-Rank Quantization-Aware Training for LLMs2406.06385v3 · Yelysei Bondarenko, Riccardo Del Chiaro, Markus Nagel2024 · 4 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
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device2310.01258v3 · Ties van Rozendaal, Tushar Singhal, Hoang Le et al.2023 · 18 citationsarXiv
Softmax Bias Correction for Quantized Generative Models2309.01729v1 · Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel et al.2023 · 13 citationsarXiv
ResQ: Residual Quantization for Video Perception2308.09511v1 · Davide Abati, Haitam Ben Yahia, Markus Nagel et al.2023 · 5 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
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing2306.12929v2 · Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort2023 · 25 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
Quadapter: Adapter for GPT-2 Quantization2211.16912v1 · Minseop Park, Jaeseong You, Markus Nagel et al.2022 · 7 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
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices2206.10844v1 · Kartik Gupta, Marios Fournarakis, Matthias Reisser et al.2022 · 13 citationsarXiv
Overcoming Oscillations in Quantization-Aware Training2203.11086v2 · Markus Nagel, Marios Fournarakis, Yelysei Bondarenko et al.2022 · 46 citationsarXiv
Cyclical Pruning for Sparse Neural Networks2202.01290v1 · Suraj Srinivas, Andrey Kuzmin, Markus Nagel et al.2022 · 20 citationsarXiv
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)2201.08442v1 · Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel et al.2022 · 27 citationsarXiv
Implicit Neural Video Compression2112.11312v1 · Yunfan Zhang, Ties van Rozendaal, Johann Brehmer et al.2021 · 32 citationsarXiv
Understanding and Overcoming the Challenges of Efficient Transformer Quantization2109.12948v1 · Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort2021 · 85 citationsarXiv
A White Paper on Neural Network Quantization2106.08295v1 · Markus Nagel, Marios Fournarakis, Rana Ali Amjad et al.2021 · 323 citationsarXiv
In-Hindsight Quantization Range Estimation for Quantized Training2105.04246v1 · Marios Fournarakis, Markus Nagel2021 · 8 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
LSQ+: Improving low-bit quantization through learnable offsets and better initialization2004.09576v1 · Yash Bhalgat, Jinwon Lee, Markus Nagel et al.2020 · 230 citationsarXiv
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks1912.09802v1 · Andrey Kuzmin, Markus Nagel, Saurabh Pitre et al.2019 · 15 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: 43 works. 37 are in this corpus.
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