Chmiel, Brian
- Scaling FP8 training to trillion-token LLMs
2024/09/19 by Maxim Fishman, Fishman, Maxim, Brian Chmiel +5 · 2 voices · 16 citations
Medicine · Physics and Astronomy · #Medical Imaging Techniques and Applications #Nuclear Physics and Applications #Particle Detector Development and Performance
- Robust Quantization: One Model to Rule Them All
2020/02/18 by Moran Shkolnik, Brian Chmiel, Shkolnik, Moran +11 · 13 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
2021/02/16 by Itay Hubara, Brian Chmiel, Hubara, Itay +9 · 11 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms
- Loss Aware Post-training Quantization
2019/11/17 by Nahshan, Yury, Chmiel, Brian, Baskin, Chaim +4 · 9 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
2021/12/19 by Brian Chmiel, Ron Banner, Chmiel, Brian +7 · 6 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- FP4 All the Way: Fully Quantized Training of LLMs
2025/05/25 by Chmiel, Brian, Fishman, Maxim, Banner, Ron +1 · 14 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CAT: Compression-Aware Training for bandwidth reduction
2019/09/25 by Chaim Baskin, Baskin, Chaim, Brian Chmiel +9 · 4 citations
Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Computer Vision and Pattern Recognition (cs.CV) #Embedded Systems Design Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
2022/03/21 by Brian Chmiel, Itay Hubara, Chmiel, Brian +5 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
- Colored Noise Injection for Training Adversarially Robust Neural Networks
2020/03/04 by Zheltonozhskii, Evgenii, Baskin, Chaim, Nemcovsky, Yaniv +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- EXAQ: Exponent Aware Quantization For LLMs Acceleration
2024/10/04 by Moran Shkolnik, Maxim Fishman, Shkolnik, Moran +9 · 1 citation
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Performance (cs.PF)