Concepedia

Evan Racah

ER

Statistics

Publications

12

Citations

673

H-Index

12

Active since

2016

Affiliations

Lawrence Berkeley National Laboratory(Current)

Polytechnique Montréal

Intel (United Kingdom)

Stanford University

University of California, Irvine

Evan Racah is an author at Lawrence Berkeley National Laboratory specializing in computer science, computing, and deep learning.

Publications per year

2016–2022

12

Publications

12

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

Yunjie Liu, Evan Racah, Joaquin Correa et al. · arXiv (Cornell University) · 2016 · 318 citations · Full text

, , +17

Deep learning at 15PF

Thorsten Kurth, Jian Zhang, Satish Nadathur et al. · 2017 · 62 citations

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

Evan Racah, Christopher Beckham, Tegan Maharaj et al. · PolyPublie (École Polytechnique de Montréal) · 2016 · 51 citations · Full text

, , +17

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 et al. · 2016 · 45 citations

, , +17

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

Eli Bronstein, Mark Palatucci, Dominik Notz et al. · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2022 · 42 citations

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