Evan Racah

Most-cited papers

1. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

   Yun-Jie Liu, Evan Racah, Prabhat, Joaquin Correa +5 more

   2016arXiv.org387 citations

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2. Unsupervised State Representation Learning in Atari

   Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio +2 more

   2019Neural Information Processing Systems287 citations

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3. ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events

   Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou +2 more

   2016Neural Information Processing Systems236 citations

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4. Deep Learning at 15PF : Supervised and Semi-Supervised Classification for Scientific Data

   T. Kurth, Jian Zhang, N. Satish, Evan Racah +11 more

   2017International Conference for High Performance Computing, Networking, Storage and Analysis85 citations

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5. Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

   Eli Bronstein, Mark Palatucci, D. Notz, B. White +13 more

   2022IEEE/RJS International Conference on Intelligent RObots and Systems74 citations Open access

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6. Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

   W. Bhimji, S. Farrell, T. Kurth, Michela Paganini +2 more

   2017Journal of Physics, Conference Series51 citations Open access

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7. 2016 Ieee International Conference on Big Data (big Data) Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+mpi Using Three Case Studies

   Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg +13 more

   48 citations

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8. Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies

   Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg +13 more

   2016arXiv.org39 citations

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9. PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

   Md. Mostofa Ali Patwary, N. Satish, N. Sundaram, Jia-Lin Liu +7 more

   2016IEEE International Parallel and Distributed Processing Symposium36 citations Open access

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10. Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks

    Evan Racah, Seyoon Ko, Peter Sadowski, W. Bhimji +4 more

    2016International Conference on Machine Learning and Applications32 citations Open access

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11. H 5 Spark : Bridging the I / O Gap between Spark and Scientific Data Formats on HPC Systems

    Jia-Lin Liu, Evan Racah, Q. Koziol, R. Canon +5 more

    201626 citations

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12. Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets

    Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat +1 more

    2016arXiv.org17 citations

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13. The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning

    H. van Seijen, Hadi Nekoei, Evan Racah, A. P. Sarath Chandar

    2020Neural Information Processing Systems16 citations

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14. Slot Contrastive Networks: A Contrastive Approach for Representing Objects

    Evan Racah, A. P. Sarath Chandar

    2020arXiv.org14 citations

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15. A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark

    Alex Gittens, Jey Kottalam, Ji-Yan Yang, Michael F. Ringenburg +11 more

    2016IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum11 citations Open access

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16. Deep Learning for Detecting Extreme Weather Patterns

    Mayur Mudigonda, Prabhat Ram, K. Kashinath, Evan Racah, A. Mahesh +13 more

    2021Deep Learning for the Earth Sciences10 citations

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17. Deep Learning for Extreme Weather Detection

    M. Prabhat, Evan Racah, J. Biard, Y. Liu +10 more

    20178 citations

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18. Toward Interactive Supercomputing at NERSC with Jupyter

    R. Thomas, S. Canon, S. Cholia, L. Gerhardt +1 more

    20175 citations

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19. Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments

    Evan Racah, C. Pal

    2019arXiv.org3 citations

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20. Exploring Raw HEP Data using Deep Neural Networks at NERSC

    W. Bhimji, Evan Racah, Seyoon Ko, Peter Sadowski +3 more

    20171 citations Open access

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21. Deep Learning for Climate Pattern Detection

    M. Prabhat, Y. Liu, Joaquin Correa, Evan Racah +5 more

    20151 citations

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22. Deep Learning recognizes weather and climate patterns

    K. Kashinath, M. Prabhat, Mayur Mudigonda, A. Mahesh +14 more

    20180 citations

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23. Deep Learning @15 Petaflops/second: Semi-supervised pattern detection for 15 Terabytes of climate data

    W. Collins, M. Wehner, M. Prabhat, T. Kurth +7 more

    20170 citations

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24. Automated Detection of Fronts using a Deep Learning Convolutional Neural Network

    J. Biard, K. Kunkel, Evan Racah

    20170 citations

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25. Classification and Localization of Extreme Weather Patterns with Deep Learning

    M. Prabhat, Y. Liu, Evan Racah, K. Kunkel +3 more

    20160 citations

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26. Lawrence Berkeley National Laboratory Recent Work Title Matrix Factorizations at Scale : a Comparison of Scientific Data Analytics in Spark and C + MPI Using Three Case Studies : Permalink

    Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, L. Gerhardt +11 more

    20160 citations

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