9 citations · 9 across the 1 of their papers we have counts for
2 papers
eess.SP2020
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
Kamak Ebadi, Yun Chang, Matteo Palieri +9
Simultaneous Localization and Mapping (SLAM) in large-scale, unknown, and complex subterranean environments is a challenging problem. Sensors must operate in off-nominal conditions…
stat.ML2015★ 9 cited
AutoCompete: A Framework for Machine Learning Competition
Abhishek Thakur, Artus Krohn-Grimberghe
In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions. This framework has been learned by us, validated an…