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Prabhat

Identifiers

  • name variant Prabhat 0.60 · backfill

Papers (27)

  1. Spherical CNNs on Unstructured Grids cs.CV · 2019 · author #4
  2. Novel deep learning methods for track reconstruction hep-ex · 2018 · author #4
  3. Exascale Deep Learning for Climate Analytics cs.DC · 2018 · author #11
  4. Graph Neural Networks for IceCube Signal Classification cs.LG · 2018 · author #6
  5. Optimizing the Union of Intersections LASSO ($UoI_{LASSO}$) and Vector Autoregressive ($UoI_{VAR}$) Algorithms for Improved Statistical Estimation at Scale cs.LG · 2018 · author #5
  6. CosmoFlow: Using Deep Learning to Learn the Universe at Scale astro-ph.CO · 2018 · author #16
  7. Alchemist: An Apache Spark <=> MPI Interface cs.DC · 2018 · author #7
  8. Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist cs.DC · 2018 · author #6
  9. Approximate Inference for Constructing Astronomical Catalogs from Images stat.AP · 2018 · author #6
  10. Cataloging the Visible Universe through Bayesian Inference at Petascale cs.DC · 2018 · author #12
  11. Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer cs.DC · 2017 · author #7
  12. Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators cs.AI · 2017 · author #11
  13. Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC hep-ex · 2017 · author #5
  14. A Physics-Based Approach to Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems physics.flu-dyn · 2017 · author #4
  15. Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies astro-ph.CO · 2017 · author #11
  16. An Assessment of Data Transfer Performance for Large-Scale Climate Data Analysis and Recommendations for the Data Infrastructure for CMIP6 cs.DC · 2017 · author #3
  17. Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data cs.PF · 2017 · author #14
  18. Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction stat.ML · 2017 · author #5
  19. ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events cs.CV · 2016 · author #5
  20. Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference cs.DC · 2016 · author #7
  21. PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures cs.DC · 2016 · author #10
  22. Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies cs.DC · 2016 · author #17
  23. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets cs.CV · 2016 · author #3
  24. Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks stat.ML · 2016 · author #8
  25. Celeste: Variational inference for a generative model of astronomical images astro-ph.IM · 2015 · author #8
  26. Scalable Bayesian Optimization Using Deep Neural Networks stat.ML · 2015 · author #8
  27. Parallelizing Gaussian Process Calculations in R stat.CO · 2013 · author #4

Mentions

  • 1305.4886 #4 · backfill · confidence 0.70 Prabhat

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