Siegel, Charles

1. Distributed TensorFlow with MPI
   2016/03/07 by Abhinav Vishnu, Vishnu, Abhinav, Charles Siegel +3 · 1 voice · 2 citations
   Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC
2. SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
   2017/12/05 by Garrett B. Goh, Nathan O. Hodas, Goh, Garrett B. +5 · 4 citations
   Chemistry · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Various Chemistry Research Topics
3. Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
   2017/06/20 by Goh, Garrett B., Siegel, Charles, Vishnu, Abhinav +2 · 3 citations
   #Artificial Intelligence (cs.AI) #Computational Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #and Science (cs.CE)
4. Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
   2017/12/07 by Garrett B. Goh, Goh, Garrett B., Charles Siegel +5 · 2 citations
   Computer Science · Materials Science · Chemistry · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Analytical Chemistry and Chromatography
5. GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
   2018/03/15 by Daily, Jeff, Vishnu, Abhinav, Siegel, Charles +2 · 1 citation
   #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)