Narayanan Sundaram

1. Scalable Bayesian Optimization Using Deep Neural Networks
   2015/02/19 by Jasper Snoek, Oren Rippel, Snoek, Jasper +15 · 2 voices · 99 citations
   Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Artificial intelligence #Artificial neural network #Bayesian optimization #Benchmark (surveying) #Computer science #Convolutional neural network #Deep learning #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Global Positioning System #Hyperparameter #Machine Learning and Data Classification #Machine learning #Optimization problem #Scalability #Scale (ratio) #Surrogate model #stat.ML
2. GraphMat: High performance graph analytics made productive
   2015/03/25 by Narayanan Sundaram, Sundaram, Narayanan, Nadathur Rajagopalan Satish +11 · 3 citations
   Computer Science · #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC) #cs.DB #cs.DC #cs.PF
3. First-Generation Inference Accelerator Deployment at Facebook
   2021/07/08 by Michael Anderson, Michael J. Anderson, Anderson, Michael +231 · 2 voices · 3 citations
   Computer Science · Decision Sciences · #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Scientific Computing and Data Management #Web Data Mining and Analysis #cs.AR
4. Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data
   2017/08/17 by Thorsten Kurth, Kurth, Thorsten, Jian Zhang +31 · 1 citation
   Computer Science · #Algorithms and Data Compression #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Performance (cs.PF) #cs.CV #cs.LG #cs.PF