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2020 – today
- 2024
[c26]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
The LLM Surgeon. ICLR 2024- [c25]Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautière, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke J. Wiggers:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV 2024: 4311-4321 - [i30]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) - [i29]Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel:
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. CoRR abs/2404.16898 (2024) - [i28]Yelysei Bondarenko, Riccardo Del Chiaro, Markus Nagel:
Low-Rank Quantization-Aware Training for LLMs. CoRR abs/2406.06385 (2024) - [i27]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) - [i26]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
- [j1]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023) - [c24]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 - [c23]Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. ICCV 2023: 17073-17083 - [c22]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) 2023: 1274-1283 - [c21]Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) 2023: 1445-1450 - [c20]Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. NeurIPS 2023 - [c19]Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? NeurIPS 2023 - [i25]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) - [i24]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) - [i23]Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. CoRR abs/2306.12929 (2023) - [i22]Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? CoRR abs/2307.02973 (2023) - [i21]Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort:
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR abs/2307.04535 (2023) - [i20]Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. CoRR abs/2308.09511 (2023) - [i19]Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel:
Softmax Bias Correction for Quantized Generative Models. CoRR abs/2309.01729 (2023) - [i18]Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautière, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke J. Wiggers:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR abs/2310.01258 (2023) - [i17]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
- [c18]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 - [c17]Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CVPR Workshops 2022: 2761-2770 - [c16]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) 2022: 2510-2517 - [c15]Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort:
Overcoming Oscillations in Quantization-Aware Training. ICML 2022: 16318-16330 - [c14]Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort:
FP8 Quantization: The Power of the Exponent. NeurIPS 2022 - [i16]Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare:
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). CoRR abs/2201.08442 (2022) - [i15]Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. CoRR abs/2202.01290 (2022) - [i14]Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort:
Overcoming Oscillations in Quantization-Aware Training. CoRR abs/2203.11086 (2022) - [i13]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR abs/2206.10844 (2022) - [i12]Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi:
Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR abs/2207.11048 (2022) - [i11]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) - [i10]Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang:
Quadapter: Adapter for GPT-2 Quantization. CoRR abs/2211.16912 (2022) - 2021
- [c13]Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. CVPR Workshops 2021: 3063-3070 - [c12]Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Understanding and Overcoming the Challenges of Efficient Transformer Quantization. EMNLP (1) 2021: 7947-7969 - [i9]Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. CoRR abs/2105.04246 (2021) - [i8]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) - [i7]Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Understanding and Overcoming the Challenges of Efficient Transformer Quantization. CoRR abs/2109.12948 (2021) - [i6]Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen:
Implicit Neural Video Compression. CoRR abs/2112.11312 (2021) - 2020
- [c11]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops 2020: 2978-2985 - [c10]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 - [c9]Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. NeurIPS 2020 - [i5]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR abs/2004.09576 (2020) - [i4]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) - [i3]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
- [c8]Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization Through Weight Equalization and Bias Correction. ICCV 2019: 1325-1334 - [i2]Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling:
Data-Free Quantization through Weight Equalization and Bias Correction. CoRR abs/1906.04721 (2019) - [i1]Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling:
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. CoRR abs/1912.09802 (2019) - 2015
- [c7]Markus Nagel, Thomas Mensink, Cees G. M. Snoek:
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. BMVC 2015: 178.1-178.12
2000 – 2009
- 2008
- [c6]Markus Nagel, Martin Hoheisel, Ulrich Bill, Klaus Klingenbeck-Regn, Willi A. Kalender, Ralf Petzold:
Electromagnetic tracking system for minimal invasive interventions using a C-arm system with CT option: first clinical results. Medical Imaging: Image-Guided Procedures 2008: 69180G - 2007
- [c5]Markus Nagel, Martin Hoheisel, Ralf Petzold, Willi A. Kalender, Ulrich H. W. Krause:
Needle and catheter navigation using electromagnetic tracking for computer-assisted C-arm CT interventions. Medical Imaging: Image-Guided Procedures 2007: 65090J - 2006
- [c4]Ulrich H. W. Krause, Markus Nagel, Rainer Seibel:
IGS (Image Guided Surgery) - Phantomversuche und erste klinische Erfahrungen mit einem neuartigen CT-basierten Navigationssystem. Bildverarbeitung für die Medizin 2006: 345-349 - [c3]Dirk Ertel, Marc Kachelriess, Tobias Pflederer, Stephan Achenbach, Robert M. Lapp, Markus Nagel, Willi A. Kalender:
Rawdata-Based Detection of the Optimal Reconstruction Phase in ECG-Gated Cardiac Image Reconstruction. MICCAI (2) 2006: 348-355 - 2005
- [c2]Markus Nagel, Gerd Schmidt, Ralf Petzold, Willi A. Kalender:
A Navigation System for Minimally Invasive CT-Guided Interventions. MICCAI (2) 2005: 33-40 - 2004
- [c1]Markus Nagel, Gerd Schmidt, Gero Schnütgen, Willi A. Kalender:
Risk management for a robot-assisted needle positioning system for interventional radiology. CARS 2004: 549-554
Coauthor Index
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