Markus Nagel - RankMe

69 papers A* 10A 2Journal 41Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Quantization Error: A Concentration-Alignment Perspective. CoRR Marco Federici, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2026	J	`jnl`	Efficient Reasoning on the Edge. CoRR Yelysei Bondarenko, Thomas Hehn, Rob Hesselink, Romain Lepert, Fabio Valerio Massoli, Evgeny Mironov, Leyla Mirvakhabova, Tribhuvanesh Orekondy, Spyridon Stasis, Andrey Kuzmin, Anna Kuzina, Markus Nagel, Ankita Nayak, Corrado Rainone, Ork de Rooij, Paul N. Whatmough, Arash Behboodi, Babak Ehteshami Bejnordi
2026	J	`jnl`	Leech Lattice Vector Quantization for Efficient LLM Compression. CoRR Tycho F. A. van der Ouderaa, Mart van Baalen, Paul N. Whatmough, Markus Nagel
2025	—	`conf`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. MLSys Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2025	J	`jnl`	FPTQuant: Function-Preserving Transforms for LLM Quantization. CoRR Boris van Breugel, Yelysei Bondarenko, Paul N. Whatmough, Markus Nagel
2025	J	`jnl`	HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations. CoRR Marco Federici, Riccardo Del Chiaro, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2025	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. Trans. Mach. Learn. Res. Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2025	J	`jnl`	Myosotis: structured computation for attention like layer. CoRR Evgenii Egorov, Hanno Ackermann, Markus Nagel, Hong Cai
2025	J	`jnl`	STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization. CoRR Marco Federici, Riccardo Del Chiaro, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2024	J	`jnl`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. CoRR Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2024	J	`jnl`	GPTVQ: The Blessing of Dimensionality for LLM Quantization. CoRR Mart van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Cédric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul N. Whatmough
2024	J	`jnl`	How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training. CoRR Jaeseong You, Minseop Park, Kyunggeun Lee, Seokjun An, Chirag Patel, Markus Nagel
2024	J	`jnl`	Low-Rank Quantization-Aware Training for LLMs. CoRR Yelysei Bondarenko, Riccardo Del Chiaro, Markus Nagel
2024	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. CoRR Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2024	A	`conf`	MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV 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
2024	J	`jnl`	Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters. CoRR 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
2024	A*	`conf`	Sparse High Rank Adapters. NeurIPS Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul N. Whatmough, Risheek Garrepalli, Mart van Baalen, Harris Teague, Markus Nagel
2024	J	`jnl`	Sparse High Rank Adapters. CoRR 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
2024	A*	`conf`	The LLM Surgeon. ICLR Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
2023	—	`conf`	A Practical Mixed Precision Algorithm for Post-Training Quantization. BMVC Workshop Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
2023	J	`jnl`	A Practical Mixed Precision Algorithm for Post-Training Quantization. CoRR Nilesh Prasad Pandey, Markus Nagel, Mart van Baalen, Yin Huang, Chirag Patel, Tijmen Blankevoort
2023	J	`jnl`	FP8 versus INT8 for efficient deep learning inference. CoRR Mart van Baalen, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort
2023	J	`jnl`	MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR 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
2023	A*	`conf`	Pruning vs Quantization: Which is Better? NeurIPS Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
2023	J	`jnl`	Pruning vs Quantization: Which is Better? CoRR Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
2023	—	`conf`	QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. ICCV (Workshops) Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
2023	J	`jnl`	QBitOpt: Fast and Accurate Bitwidth Reallocation during Training. CoRR Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
2023	A*	`conf`	Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. NeurIPS Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
2023	J	`jnl`	Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. CoRR Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
2023	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2023	A*	`conf`	ResQ: Residual Quantization for Video Perception. ICCV Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian
2023	J	`jnl`	ResQ: Residual Quantization for Video Perception. CoRR Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian
2023	—	`conf`	Softmax Bias Correction for Quantized Generative Models. ICCV (Workshops) Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
2023	J	`jnl`	Softmax Bias Correction for Quantized Generative Models. CoRR Nilesh Prasad Pandey, Marios Fournarakis, Chirag Patel, Markus Nagel
2023	J	`jnl`	The LLM Surgeon. CoRR Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort
2022	—	`conf`	Cyclical Pruning for Sparse Neural Networks. CVPR Workshops Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	J	`jnl`	Cyclical Pruning for Sparse Neural Networks. CoRR Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	A*	`conf`	FP8 Quantization: The Power of the Exponent. NeurIPS Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
2022	J	`jnl`	FP8 Quantization: The Power of the Exponent. CoRR Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
2022	J	`jnl`	Neural Network Quantization with AI Model Efficiency Toolkit (AIMET). CoRR Sangeetha Siddegowda, Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Chirag Patel, Abhijit Khobare
2022	A*	`conf`	Overcoming Oscillations in Quantization-Aware Training. ICML Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort
2022	J	`jnl`	Overcoming Oscillations in Quantization-Aware Training. CoRR Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort
2022	—	`conf`	Quadapter: Adapter for GPT-2 Quantization. EMNLP (Findings) Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang
2022	J	`jnl`	Quadapter: Adapter for GPT-2 Quantization. CoRR Minseop Park, Jaeseong You, Markus Nagel, Simyung Chang
2022	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2022	J	`jnl`	Quantized Sparse Weight Decomposition for Neural Network Compression. CoRR Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi
2022	—	`conf`	Simulated Quantization, Real Power Savings. CVPR Workshops Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort
2021	J	`jnl`	A White Paper on Neural Network Quantization. CoRR Markus Nagel, Marios Fournarakis, Rana Ali Amjad, Yelysei Bondarenko, Mart van Baalen, Tijmen Blankevoort
2021	J	`jnl`	Implicit Neural Video Compression. CoRR Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen
2021	—	`conf`	In-Hindsight Quantization Range Estimation for Quantized Training. CVPR Workshops Marios Fournarakis, Markus Nagel
2021	J	`jnl`	In-Hindsight Quantization Range Estimation for Quantized Training. CoRR Marios Fournarakis, Markus Nagel
2021	—	`conf`	Understanding and Overcoming the Challenges of Efficient Transformer Quantization. EMNLP (1) Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
2021	J	`jnl`	Understanding and Overcoming the Challenges of Efficient Transformer Quantization. CoRR Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
2020	A*	`conf`	Bayesian Bits: Unifying Quantization and Pruning. NeurIPS Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Bayesian Bits: Unifying Quantization and Pruning. CoRR Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling
2020	—	`conf`	LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
2020	J	`jnl`	LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
2020	A*	`conf`	Up or Down? Adaptive Rounding for Post-Training Quantization. ICML Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2020	J	`jnl`	Up or Down? Adaptive Rounding for Post-Training Quantization. CoRR Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort
2019	A*	`conf`	Data-Free Quantization Through Weight Equalization and Bias Correction. ICCV Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling
2019	J	`jnl`	Data-Free Quantization through Weight Equalization and Bias Correction. CoRR Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling
2019	J	`jnl`	Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. CoRR Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling
2015	A	`conf`	Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. BMVC Markus Nagel, Thomas Mensink, Cees G. M. Snoek
2008	—	`conf`	Electromagnetic tracking system for minimal invasive interventions using a C-arm system with CT option: first clinical results. Image-Guided Procedures Markus Nagel, Martin Hoheisel, Ulrich Bill, Klaus Klingenbeck-Regn, Willi A. Kalender, Ralf Petzold
2007	—	`conf`	Needle and catheter navigation using electromagnetic tracking for computer-assisted C-arm CT interventions. Image-Guided Procedures Markus Nagel, Martin Hoheisel, Ralf Petzold, Willi A. Kalender, Ulrich H. W. Krause
2006	—	`conf`	IGS (Image Guided Surgery) - Phantomversuche und erste klinische Erfahrungen mit einem neuartigen CT-basierten Navigationssystem. Bildverarbeitung für die Medizin Ulrich H. W. Krause, Markus Nagel, Rainer Seibel
2006	—	`conf`	Rawdata-Based Detection of the Optimal Reconstruction Phase in ECG-Gated Cardiac Image Reconstruction. MICCAI (2) Dirk Ertel, Marc Kachelriess, Tobias Pflederer, Stephan Achenbach, Robert M. Lapp, Markus Nagel, Willi A. Kalender
2005	—	`conf`	A Navigation System for Minimally Invasive CT-Guided Interventions. MICCAI (2) Markus Nagel, Gerd Schmidt, Ralf Petzold, Willi A. Kalender
2004	—	`conf`	Risk management for a robot-assisted needle positioning system for interventional radiology. CARS Markus Nagel, Gerd Schmidt, Gero Schnütgen, Willi A. Kalender