16 citations · 39 across the 6 of their papers we have counts for
6 papers
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman +6
Enhanced AutoNav (ENav), the baseline surface navigation software for NASA's Perseverance rover, sorts a list of candidate paths for the rover to traverse, then uses the Approximat…
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song, Ravi Lanka, Yisong Yue +1
This paper studies a strategy for data-driven algorithm design for large-scale combinatorial optimization problems that can leverage existing state-of-the-art solvers in general pu…
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
Joseph Gatto, Ravi Lanka, Yumi Iwashita +1
Have you ever wondered how your feature space is impacting the prediction of a specific sample in your dataset? In this paper, we introduce Single Sample Feature Importance (SSFI),…
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue +1
We study the problem of learning sequential decision-making policies in settings with multiple state-action representations. Such settings naturally arise in many domains, such as…
PURE: Scalable Phase Unwrapping with Spatial Redundant Arcs
Ravi Lanka
Phase unwrapping is a key problem in many coherent imaging systems, such as synthetic aperture radar (SAR) interferometry. A general formulation for redundant integration of finite…
Learning to Search via Retrospective Imitation
Jialin Song, Ravi Lanka, Albert Zhao +3
We study the problem of learning a good search policy for combinatorial search spaces. We propose retrospective imitation learning, which, after initial training by an expert, impr…