Evan Racah
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
3
Active years
2016–2022
Best venue rank
A
Where they publish
Papers
3 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | IROS | Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. | Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov |
| 2017 | SC | Deep learning at 15PF: supervised and semi-supervised classification for scientific data. | Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey |
| 2016 | ICMLA | Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. | Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat |