Nicolas Vasilache
- MLIR: A Compiler Infrastructure for the End of Moore's Law
2020/02/25 by Chris Lattner, Mehdi Amini, Lattner, Chris +17 · 5 voices · 20 citations
#cs.PL #cs.LG
- Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
2018/02/13 by Nicolas Vasilache, Oleksandr Zinenko, Vasilache, Nicolas +15 · 1 voice · 22 citations
Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #Tensor decomposition and applications #cs.LG #cs.PL
- Learning Visual Features from Large Weakly Supervised Data
2015/11/06 by Armand Joulin, Laurens van der Maaten, Joulin, Armand +5 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
- TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment
2022/05/28 by Hsin-I Cindy Liu, Liu, Hsin-I Cindy, Marius Brehler +9 · 6 citations
Computer Science · #Parallel Computing and Optimization Techniques #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems
- Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
2014/12/24 by Nicolas Vasilache, Vasilache, Nicolas, Jeff Johnson +9 · 2 citations
Computer Science · Earth and Planetary Sciences · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #Seismic Imaging and Inversion Techniques #and Cluster Computing (cs.DC)