| Application of deep convolutional neural networks for detecting extreme weather in climate datasets Y Liu, E Racah, J Correa, A Khosrowshahi, D Lavers, K Kunkel, ... arXiv preprint arXiv:1605.01156, 2016 | 77 | 2016 |
| 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 | 44 | 2016 |
| 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 Advances in Neural Information Processing Systems, 3402-3413, 2017 | 34* | 2017 |
| 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 | 27 | 2017 |
| 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 | 21 | 2016 |
| 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 1085 (4), 042034, 2018 | 20 | 2018 |
| H5spark: bridging the I/O gap between spark and scientific data formats on Hpc systems J Liu, E Racah, Q Koziol, RS Canon, A Gittens Cray user group, 2016 | 19 | 2016 |
| 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 | 9 | 2016 |
| 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 | 6 | 2016 |
| Deep Learning for Extreme Weather Detection M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ... AGU Fall Meeting Abstracts, 2017 | 1 | 2017 |
| Toward Interactive Supercomputing at NERSC with Jupyter R Thomas, S Canon, S Cholia, L Gerhardt, E Racah Cray User Group (CUG) Conference Proceedings, 2017 | 1 | 2017 |
| Characterizing the Performance of Analytics Workloads on the Cray XC40 MF Ringenburg, S Zhang, KJ Maschhoff, B Sparks, E Racah Cray User Group (CUG) meeting 5, 2016 | 1 | 2016 |
| Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments E Racah, C Pal arXiv preprint arXiv:1906.11951, 2019 | | 2019 |
| Unsupervised State Representation Learning in Atari A Anand*, E Racah*, S Ozair*, Y Bengio, MA Côté, RD Hjelm arXiv preprint arXiv:1906.08226, 2019 | | 2019 |
| Deep Learning recognizes weather and climate patterns K Kashinath, M Prabhat, M Mudigonda, A Mahesh, SK Kim, Y Liu, ... AGU Fall Meeting Abstracts, 2018 | | 2018 |
| Deep Learning@ 15 Petaflops/second: Semi-supervised pattern detection for 15 Terabytes of climate data WD Collins, MF Wehner, M Prabhat, T Kurth, N Satish, I Mitliagkas, ... AGU Fall Meeting Abstracts, 2017 | | 2017 |
| Automated Detection of Fronts using a Deep Learning Convolutional Neural Network JC Biard, K Kunkel, E Racah AGU Fall Meeting Abstracts, 2017 | | 2017 |
| Deep learning with raw data from Daya Bay S Kohn, E Racah, C Tull, W Bhimji, D Dwyer J. Phys. Conf. Ser. 898, 072050, 2017 | | 2017 |
| Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC P Paganini, E Racah arXiv preprint arXiv:1711.03573, 2017 | | 2017 |
| Exploring Raw HEP Data using Deep Neural Networks at NERSC W Bhimji, E Racah, S Ko, P Sadowski, C Tull, SY Oh 38th International Conference on High Energy Physics 282, 889, 2017 | | 2017 |
Chris PalProfessor, Polytechnique Montréal & Element AI, Canada CIFAR AI ChairVerified email at polymtl.ca