Articoli con mandati relativi all'accesso pubblico - Evan RacahUlteriori informazioni
Disponibili pubblicamente: 10
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
E Racah, C Beckham, T Maharaj, SE Kahou, M Prabhat, C Pal
NeurIPS 2017, 2017
Mandati: US Department of Energy
Deep learning at 15pf: supervised and semi-supervised classification for scientific data
T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ...
Proceedings of the International Conference for High Performance Computing …, 2017
Mandati: US Department of Energy
Matrix factorizations at scale: A comparison of scientific data analytics in Spark and C+ MPI using three case studies
A Gittens, A Devarakonda, E Racah, M Ringenburg, L Gerhardt, ...
2016 IEEE International Conference on Big Data (Big Data), 204-213, 2016
Mandati: US National Science Foundation, US Department of Energy
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC
W Bhimji, SA Farrell, T Kurth, M Paganini, E Racah
Journal of Physics: Conference Series, 2017
Mandati: US Department of Energy
Panda: Extreme scale parallel k-nearest neighbor on distributed architectures
MMA Patwary, NR Satish, N Sundaram, J Liu, P Sadowski, E Racah, ...
2016 IEEE international parallel and distributed processing symposium (IPDPS …, 2016
Mandati: US Department of Energy
Revealing fundamental physics from the daya bay neutrino experiment using deep neural networks
E Racah, S Ko, P Sadowski, W Bhimji, C Tull, SY Oh, P Baldi
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
Mandati: US Department of Energy
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
H van Seijen, H Nekoei, E Racah, S Chandar
NeurIPS 2020, 2020
Mandati: Natural Sciences and Engineering Research Council of Canada
A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark
A Gittens, J Kottalam, J Yang, MF Ringenburg, J Chhugani, E Racah, ...
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
Mandati: US Department of Energy
Toward interactive supercomputing at NERSC with Jupyter
R Thomas, S Canon, S Cholia, L Gerhardt, E Racah
Cray User Group (CUG) Conference Proceedings, 2017
Mandati: US Department of Energy
Revealing fundamental physics from the Daya Bay Neutrino Experiment using deep neural
E Racah, S Ko, P Sadowski
Mandati: US Department of Energy
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