Mart van Baalen

33 papers A* 8Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
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`	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
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`	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	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	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	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`	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
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	A*	`conf`	Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Gradient 𝓁 CoRR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
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