Markus Nagel

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Efficient Inference

Video Compression

Bias Correction

Top Venues

Publications

Yelysei Bondarenko, Riccardo Del Chiaro, Markus Nagel
Low-Rank Quantization-Aware Training for LLMs. CoRR (2024)
Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
The LLM Surgeon. ICLR (2024)
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 Wiggers
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV (2024)
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 (2024)
Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. CoRR (2024)
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 (2024)
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 (2024)
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 (2023)
Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
A Practical Mixed Precision Algorithm for Post-Training Quantization. CoRR (2023)
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. NeurIPS (2023)
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. CoRR (2023)
Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) (2023)
Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian
ResQ: Residual Quantization for Video Perception. ICCV (2023)
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 Wiggers
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR (2023)
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
Pruning vs Quantization: Which is Better? NeurIPS (2023)
Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort
The LLM Surgeon. CoRR (2023)
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)
Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) (2023)
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
Pruning vs Quantization: Which is Better? CoRR (2023)
Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR (2023)
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)
Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
Softmax Bias Correction for Quantized Generative Models. CoRR (2023)
Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian
ResQ: Residual Quantization for Video Perception. CoRR (2023)
Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang
Quadapter: Adapter for GPT-2 Quantization. CoRR (2022)
Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort
Overcoming Oscillations in Quantization-Aware Training. CoRR (2022)
Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort
Overcoming Oscillations in Quantization-Aware Training. ICML (2022)
Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort
Simulated Quantization, Real Power Savings. CVPR Workshops (2022)
Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
FP8 Quantization: The Power of the Exponent. NeurIPS (2022)
Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi
Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR (2022)
Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). CoRR (2022)
Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
FP8 Quantization: The Power of the Exponent. CoRR (2022)
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR (2022)
Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
Cyclical Pruning for Sparse Neural Networks. CoRR (2022)
Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
Cyclical Pruning for Sparse Neural Networks. CVPR Workshops (2022)
Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang
Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) (2022)
Marios Fournarakis, Markus Nagel
In-Hindsight Quantization Range Estimation for Quantized Training. CVPR Workshops (2021)
Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen
Implicit Neural Video Compression. CoRR (2021)
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Understanding and Overcoming the Challenges of Efficient Transformer Quantization. EMNLP (1) (2021)
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Understanding and Overcoming the Challenges of Efficient Transformer Quantization. CoRR (2021)
Marios Fournarakis, Markus Nagel
In-Hindsight Quantization Range Estimation for Quantized Training. CoRR (2021)
Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort
A White Paper on Neural Network Quantization. CoRR (2021)
Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
Bayesian Bits: Unifying Quantization and Pruning. NeurIPS (2020)
Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
Bayesian Bits: Unifying Quantization and Pruning. CoRR (2020)
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops (2020)
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR (2020)
Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR (2020)
Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
Up or Down? Adaptive Rounding for Post-Training Quantization. ICML (2020)
Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. CoRR (2019)
Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling
Data-Free Quantization through Weight Equalization and Bias Correction. CoRR (2019)
Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling
Data-Free Quantization Through Weight Equalization and Bias Correction. ICCV (2019)
Markus Nagel, Thomas Mensink, Cees G. M. Snoek
Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. BMVC (2015)
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)
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)
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)
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)
Markus Nagel, Gerd Schmidt, Ralf Petzold, Willi A. Kalender
A Navigation System for Minimally Invasive CT-Guided Interventions. MICCAI (2) (2005)
Markus Nagel, Gerd Schmidt, Gero Schnütgen, Willi A. Kalender
Risk management for a robot-assisted needle positioning system for interventional radiology. CARS (2004)