Markus Nagel

According to our database, Markus Nagel authored at least 39 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters.

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

CoRR, 2024

Sparse High Rank Adapters.

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

CoRR, 2024

Low-Rank Quantization-Aware Training for LLMs.

Yelysei Bondarenko, Riccardo Del Chiaro, Markus Nagel

CoRR, 2024

How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training.

Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel

CoRR, 2024

GPTVQ: The Blessing of Dimensionality for LLM Quantization.

Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough

CoRR, 2024

MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

The LLM Surgeon.

Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices.

Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel

Trans. Mach. Learn. Res., 2023

The LLM Surgeon.

Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort

CoRR, 2023

FP8 versus INT8 for efficient deep learning inference.

Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort

CoRR, 2023

Pruning vs Quantization: Which is Better?

Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing.

Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QBitOpt: Fast and Accurate Bitwidth Reallocation during Training.

Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Softmax Bias Correction for Quantized Generative Models.

Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ResQ: Residual Quantization for Video Perception.

Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Practical Mixed Precision Algorithm for Post-Training Quantization.

Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort

Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023

2022

Quantized Sparse Weight Decomposition for Neural Network Compression.

Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi

CoRR, 2022

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET).

Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare

CoRR, 2022

FP8 Quantization: The Power of the Exponent.

Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Overcoming Oscillations in Quantization-Aware Training.

Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort

Proceedings of the International Conference on Machine Learning, 2022

Quadapter: Adapter for GPT-2 Quantization.

Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cyclical Pruning for Sparse Neural Networks.

Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Simulated Quantization, Real Power Savings.

Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Implicit Neural Video Compression.

Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen

CoRR, 2021

A White Paper on Neural Network Quantization.

Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort

CoRR, 2021

Understanding and Overcoming the Challenges of Efficient Transformer Quantization.

Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

In-Hindsight Quantization Range Estimation for Quantized Training.

Marios Fournarakis, Markus Nagel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Bayesian Bits: Unifying Quantization and Pruning.

Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Up or Down? Adaptive Rounding for Post-Training Quantization.

Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort

Proceedings of the 37th International Conference on Machine Learning, 2020

LSQ+: Improving low-bit quantization through learnable offsets and better initialization.

Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks.

Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling

CoRR, 2019

Data-Free Quantization Through Weight Equalization and Bias Correction.

Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2015

Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams.

Markus Nagel, Thomas Mensink, Cees G. M. Snoek

Proceedings of the British Machine Vision Conference 2015, 2015

2008

Electromagnetic tracking system for minimal invasive interventions using a C-arm system with CT option: first clinical results.

Markus Nagel, Martin Hoheisel, Ulrich Bill, Klaus Klingenbeck-Regn, Willi A. Kalender, Ralf Petzold

Proceedings of the Medical Imaging 2008: Visualization, 2008

2007

Needle and catheter navigation using electromagnetic tracking for computer-assisted C-arm CT interventions.

Markus Nagel, Martin Hoheisel, Ralf Petzold, Willi A. Kalender, Ulrich H. W. Krause

Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

2006

Rawdata-Based Detection of the Optimal Reconstruction Phase in ECG-Gated Cardiac Image Reconstruction.

Dirk Ertel, Marc Kachelriess, Tobias Pflederer, Stephan Achenbach, Robert M. Lapp, Markus Nagel, Willi A. Kalender

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

IGS (Image Guided Surgery) - Phantomversuche und erste klinische Erfahrungen mit einem neuartigen CT-basierten Navigationssystem.

Ulrich H. W. Krause, Markus Nagel, Rainer Seibel

Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2005

A Navigation System for Minimally Invasive CT-Guided Interventions.

Markus Nagel, Gerd Schmidt, Ralf Petzold, Willi A. Kalender

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004

Risk management for a robot-assisted needle positioning system for interventional radiology.

Markus Nagel, Gerd Schmidt, Gero Schnütgen, Willi A. Kalender

Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004