Evan Racah
Nomor Research (Germany)(DE)
Publications by Year
Research Areas
Computational Physics and Python Applications, Reinforcement Learning in Robotics, Meteorological Phenomena and Simulations, Generative Adversarial Networks and Image Synthesis, Algorithms and Data Compression
Most-Cited Works
- → Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets(2016)315 cited
- → ExtremeWeather: A large-scale climate dataset for semi-supervised\n detection, localization, and understanding of extreme weather events(2016)158 cited
- → Deep learning at 15PF(2017)62 cited
- → Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies(2016)44 cited
- → Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving(2022)42 cited
- → PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures(2016)38 cited
- → Unsupervised State Representation Learning in Atari(2019)27 cited
- Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets(2017)
- → Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks(2016)19 cited