Prabhat
Orcid: 0000-0003-3281-5186Affiliations:
- Lawrence Berkeley National Laboratory, NERSC
According to our database1,
Prabhat
authored at least 85 papers
between 2005 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
On csauthors.net:
Bibliography
2021
Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR, 2021
2020
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.
J. Comput. Phys., 2020
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.
Proceedings of the International Conference for High Performance Computing, 2020
Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
ACM Trans. Parallel Comput., 2019
Nat., 2019
J. Parallel Distributed Comput., 2019
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel<sup>®</sup> FPGAs.
Proceedings of the High Performance Computing, 2019
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.
Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019
Proceedings of the International Conference for High Performance Computing, 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
2018
Optimizing the Union of Intersections LASSO (UoI<sub>LASSO</sub>) and Vector Autoregressive (UoI<sub>VAR</sub>) Algorithms for Improved Statistical Estimation at Scale.
CoRR, 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.
CoRR, 2018
International Neuroscience Initiatives through the Lens of High-Performance Computing.
Computer, 2018
Proceedings of the High Performance Computing, 2018
Proceedings of the International Conference for High Performance Computing, 2018
Proceedings of the International Conference for High Performance Computing, 2018
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
2017
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.
CoRR, 2017
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC.
CoRR, 2017
An Assessment of Data Transfer Performance for Large-Scale Climate Data Analysis and Recommendations for the Data Infrastructure for CMIP6.
CoRR, 2017
ArrayBridge: Interweaving declarative array processing with high-performance computing.
CoRR, 2017
Deep learning at 15PF: supervised and semi-supervised classification for scientific data.
Proceedings of the International Conference for High Performance Computing, 2017
Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies.
Proceedings of the International Conference for High Performance Computing, 2017
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience.
Frontiers Neuroinformatics, 2016
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference.
CoRR, 2016
CoRR, 2016
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets.
CoRR, 2016
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
CoRR, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the 6th International Workshop on Performance Modeling, 2015
Proceedings of the International Conference for High Performance Computing, 2015
Proceedings of the 10th Parallel Data Storage Workshop, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014
2013
A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data.
Technometrics, 2013
Proceedings of the Visualization and Data Analysis 2013, 2013
Proceedings of the International Conference for High Performance Computing, 2013
Proceedings of the 22nd International Symposium on High-Performance Parallel and Distributed Computing, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
Accelerating analysis of void space in porous materials on multicore and GPU platforms.
Int. J. High Perform. Comput. Appl., 2012
Proceedings of the 3rd International EuroVis Workshop on Visual Analytics, 2012
Proceedings of the SC Conference on High Performance Computing Networking, 2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
2011
Proceedings of the Scientific and Statistical Database Management, 2011
Proceedings of the Conference on High Performance Computing Networking, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011
2010
Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data.
Proceedings of the International Conference on Computational Science, 2010
IEEE Computer Graphics and Applications, 2010
2008
A Comparative Study of Desktop, Fishtank, and Cave Systems for the Exploration of Volume Rendered Confocal Data Sets.
IEEE Trans. Vis. Comput. Graph., 2008
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2006
IEEE Computer Graphics and Applications, 2006
2005
Experiences in driving a cave with IBM scalable graphics engine-3 (SGE-3) prototypes.
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 2005