Prabhat
- Scalable Bayesian Optimization Using Deep Neural Networks
2015/02/19 by Jasper Snoek, Oren Rippel, Snoek, Jasper +15 · 2 voices · 440 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
- CosmoFlow: Using Deep Learning to Learn the Universe at Scale
2018/08/14 by Amrita Mathuriya, Deborah Bard, Mathuriya, Amrita +34 · 1 voice · 24 citations
Computer Science · Physics and Astronomy · #Advanced Data Storage Technologies #Artificial intelligence #Bottleneck #Compiler #Computer science #Deep learning #Distributed and Parallel Computing Systems #Embedded system #Implementation #Operating system #Parallel Computing and Optimization Techniques #Parallel computing #Plug-in #Pooling #Programming language #Scalability #Scale (ratio) #Speedup #Supercomputer #Xeon #Xeon Phi #astro-ph.CO #astro-ph.IM #cs.LG #physics.comp-ph