Evan Racah

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Papers (8)

1. Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cs.LG · 2019 · author #1
2. Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC hep-ex · 2017 · author #6
3. Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data cs.PF · 2017 · author #5
4. ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events cs.CV · 2016 · author #1
5. PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures cs.DC · 2016 · author #6
6. Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies cs.DC · 2016 · author #3
7. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets cs.CV · 2016 · author #2
8. Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks stat.ML · 2016 · author #1

Mentions

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Frequent Coauthors

• Prabhat 7 shared papers
• Wahid Bhimji 4 shared papers
• Christopher Pal 2 shared papers
• Craig Tull 2 shared papers
• Jialin Liu 2 shared papers
• Narayanan Sundaram 2 shared papers
• Peter Sadowski 2 shared papers
• Pradeep Dubey 2 shared papers
• Thorsten Kurth 2 shared papers
• Aditya Devarakonda 1 shared papers
• Alex Gittens 1 shared papers
• Amir Khosrowshahi 1 shared papers
• Christopher Beckham 1 shared papers
• David Lavers 1 shared papers
• Ioannis Mitliagkas 1 shared papers
• Jack Deslippe 1 shared papers
• James Demmel 1 shared papers
• Jatin Chhugani 1 shared papers
• Jey Kottalam 1 shared papers
• Jian Zhang 1 shared papers