Tristan J. Webb

1. Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
   2017/11/06 by Urs Köster, Köster, Urs, Tristan J. Webb +25 · 6 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
2. Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
   2018/01/24 by Scott Cyphers, Arjun K. Bansal, Cyphers, Scott +39 · 3 citations
   Computer Science · #Distributed #Embedded Systems Design Techniques #FOS: Computer and information sciences #Interconnection Networks and Systems #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
3. Scaling Laws for Post Training Quantized Large Language Models
   2024/10/15 by Zifei Xu, Alexander Lan, Xu, Zifei +9 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
4. Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
   2024/10/18 by Zifei Xu, Xu, Zifei, Sayeh Sharify +7 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling