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Blankevoort, Tijmen

  1. Up or Down? Adaptive Rounding for Post-Training Quantization
    2020/04/22 by Markus Nagel, Rana Ali Amjad, Nagel, Markus +7 · 60 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  2. A White Paper on Neural Network Quantization
    2021/06/15 by Nagel, Markus, Fournarakis, Marios, Amjad, Rana Ali +3 · 57 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. SpinQuant: LLM quantization with learned rotations
    2024/05/26 by Zechun Liu, Changsheng Zhao, Liu, Zechun +15 · 87 citations
    Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression
  4. VeRA: Vector-based Random Matrix Adaptation
    2023/10/17 by Dawid Jan Kopiczko, Tijmen Blankevoort, Kopiczko, Dawid J. +3 · 45 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Speech Recognition and Synthesis #Topic Modeling
  5. LSQ+: Improving low-bit quantization through learnable offsets and better initialization
    2020/04/20 by Yash Bhalgat, Jinwon Lee, Bhalgat, Yash +7 · 20 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  6. Overcoming Oscillations in Quantization-Aware Training
    2022/03/21 by Markus Nagel, Nagel, Markus, Marios Fournarakis +5 · 17 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG)
  7. Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
    2023/06/22 by Bondarenko, Yelysei, Nagel, Markus, Blankevoort, Tijmen · 15 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Understanding and Overcoming the Challenges of Efficient Transformer Quantization
    2021/09/27 by Bondarenko, Yelysei, Nagel, Markus, Blankevoort, Tijmen · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. FP8 Quantization: The Power of the Exponent
    2022/08/19 by Andrey N. Kuzmin, Kuzmin, Andrey, Mart van Baalen +9 · 12 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks #Advanced Neural Network Applications
  10. Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations
    2024/11/18 by Igor Fedorov, Fedorov, Igor, Kate Plawiak +37 · 2 voices · 5 citations
    #cs.DC #cs.AI
  11. Pruning vs Quantization: Which is Better?
    2023/07/06 by Andrey N. Kuzmin, Markus Nagel, Kuzmin, Andrey +7 · 10 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
  12. GPTVQ: The Blessing of Dimensionality for LLM Quantization
    2024/02/23 by Mart van Baalen, Andrey N. Kuzmin, van Baalen, Mart +14 · 11 citations
    Computer Science · Decision Sciences · Physics and Astronomy · #Distributed and Parallel Computing Systems #Scientific Computing and Data Management #Atomic and Subatomic Physics Research
  13. Differentiable Joint Pruning and Quantization for Hardware Efficiency
    2020/07/20 by Wang, Ying, Lu, Yadong, Blankevoort, Tijmen · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Bayesian Bits: Unifying Quantization and Pruning
    2020/05/14 by Mart van Baalen, Christos Louizos, van Baalen, Mart +11 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers
    2023/07/05 by Jakob D. Havtorn, Amélie Royer, Havtorn, Jakob Drachmann +5 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Neural Network Applications #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
  16. Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
    2022/01/20 by Sangeetha Siddegowda, Siddegowda, Sangeetha, Marios Fournarakis +9 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Neural Networks and Applications #Performance (cs.PF) #Software Engineering (cs.SE)
  17. Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
    2024/02/26 by Benjamin Bergner, Bergner, Benjamin, Andrii Skliar +9 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  18. Scalarization for Multi-Task and Multi-Domain Learning at Scale
    2023/10/13 by Amélie Royer, Royer, Amelie, Tijmen Blankevoort +3 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Seismology and Earthquake Studies
  19. FP8 versus INT8 for efficient deep learning inference
    2023/03/31 by van Baalen, Mart, Kuzmin, Andrey, Nair, Suparna S +8 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Conditional Channel Gated Networks for Task-Aware Continual Learning
    2020/03/31 by Abati, Davide, Tomczak, Jakub, Blankevoort, Tijmen +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
    2020/12/16 by Bert Moons, Parham Noorzad, Moons, Bert +11 · 2 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE)
  22. The LLM Surgeon
    2023/12/28 by van der Ouderaa, Tycho F. A., Nagel, Markus, van Baalen, Mart +2 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Learned Threshold Pruning
    2020/02/28 by Kambiz Azarian, Azarian, Kambiz, Yash Bhalgat +5 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Analysis and Summarization
  24. Revisiting Single-gated Mixtures of Experts
    2023/04/11 by Amélie Royer, Ilia Karmanov, Royer, Amelie +7 · 2 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #SARS-CoV-2 detection and testing
  25. ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
    2025/02/04 by Zechun Liu, Changsheng Zhao, Liu, Zechun +28 · 5 citations
    Physics and Astronomy · Computer Science · #Particle Detector Development and Performance #Atomic and Subatomic Physics Research #Advanced Data Compression Techniques
  26. NVIDIA Nemotron 3: Efficient and Open Intelligence
    2025/12/24 by NVIDIA, :, Blakeman, Aaron +356 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Cyclical Pruning for Sparse Neural Networks
    2022/02/02 by Srinivas, Suraj, Kuzmin, Andrey, Nagel, Markus +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Efficient Neural PDE-Solvers using Quantization Aware Training
    2023/08/14 by Winfried van den Dool, Dool, Winfried van den, Tijmen Blankevoort +5 · 2 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing
  29. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
    2025/12/23 by NVIDIA, Aaron Blakeman, : +623 · 1 voice · 2 citations
    #cs.CL #cs.AI #cs.LG
  30. A Practical Mixed Precision Algorithm for Post-Training Quantization
    2023/02/10 by Nilesh Prasad Pandey, Pandey, Nilesh Prasad, Markus Nagel +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Neural Networks and Applications
  31. Batch-Shaping for Learning Conditional Channel Gated Networks
    2019/07/15 by Babak Ehteshami Bejnordi, Bejnordi, Babak Ehteshami, Tijmen Blankevoort +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  32. QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
    2023/07/10 by Peters, Jorn, Fournarakis, Marios, Nagel, Markus +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
    2024/02/26 by Bejnordi, Babak Ehteshami, Kumar, Gaurav, Royer, Amelie +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)