Blankevoort, Tijmen

26 publications

NeurIPS 2025 Elastic ViTs from Pretrained Models Without Retraining Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees G. M. Snoek, Yuki M Asano

NeurIPS 2025 ParetoQ: Improving Scaling Laws in Extremely Low-Bit LLM Quantization Zechun Liu, Changsheng Zhao, Hanxian Huang, Sijia Chen, Jing Zhang, Jiawei Zhao, Scott Roy, Lisa Jin, Yunyang Xiong, Yangyang Shi, Lin Xiao, Yuandong Tian, Bilge Soran, Raghuraman Krishnamoorthi, Tijmen Blankevoort, Vikas Chandra

ICLR 2025 SpinQuant: LLM Quantization with Learned Rotations Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort

ICMLW 2024 GPTVQ: The Blessing of Dimensionality for LLM Quantization Mart Van Baalen, Andrey Kuzmin, Markus Nagel, Peter Couperus, Artem Bolshakov, Cedric Bastoul, Eric Mahurin, Tijmen Blankevoort, Paul Whatmough

ICLR 2024 The LLM Surgeon Tycho F. A. van der Ouderaa, Markus Nagel, Mart Van Baalen, Tijmen Blankevoort

ICMLW 2024 Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M Asano, Babak Ehteshami Bejnordi

ICLR 2024 VeRA: Vector-Based Random Matrix Adaptation Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M Asano

ICCVW 2023 Efficient Neural PDE-Solvers Using Quantization Aware Training Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano

ICCVW 2023 MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

NeurIPS 2023 Pruning vs Quantization: Which Is Better? Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort

ICCVW 2023 QBitOpt: Fast and Accurate Bitwidth Reallocation During Training Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

NeurIPS 2023 Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort

NeurIPS 2023 Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

CVPRW 2022 Cyclical Pruning for Sparse Neural Networks Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort

NeurIPS 2022 FP8 Quantization: The Power of the Exponent Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort

ICML 2022 Overcoming Oscillations in Quantization-Aware Training Markus Nagel, Marios Fournarakis, Yelysei Bondarenko, Tijmen Blankevoort

CVPRW 2022 Simple and Efficient Architectures for Semantic Segmentation Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort

CVPRW 2022 Simulated Quantization, Real Power Savings Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort

ICCV 2021 Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort

ICLR 2020 Batch-Shaping for Learning Conditional Channel Gated Networks Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling

NeurIPS 2020 Bayesian Bits: Unifying Quantization and Pruning Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling

ECCV 2020 Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang, Yadong Lu, Tijmen Blankevoort

ICLR 2020 Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

CVPRW 2020 LSQ+: Improving Low-Bit Quantization Through Learnable Offsets and Better Initialization Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak

ICML 2020 Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel, Rana Ali Amjad, Mart Van Baalen, Christos Louizos, Tijmen Blankevoort

ICLR 2019 Relaxed Quantization for Discretized Neural Networks Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling