54 citations · 205 across the 17 of their papers we have counts for
5 papers · 1 filter
AI Enabled Maneuver Identification via the Maneuver Identification Challenge
Kaira Samuel, Matthew LaRosa, Kyle McAlpin +6
Artificial intelligence (AI) has enormous potential to improve Air Force pilot training by providing actionable feedback to pilot trainees on the quality of their maneuvers and ena…
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
Jiawei Fu, Yunlong Song, Yan Wu +2
Autonomous drones can operate in remote and unstructured environments, enabling various real-world applications. However, the lack of effective vision-based algorithms has been a s…
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
Nataša Tagasovska, Nathan C. Frey, Andreas Loukas +9
Deep generative models have emerged as a popular machine learning-based approach for inverse design problems in the life sciences. However, these problems often require sampling ne…
The Tianlai dish array low-z surveys forecasts
Olivier Perdereau, Réza Ansari, Albert Stebbins +23
We present the science case for surveys with the Tianlai dish array interferometer tuned to the frequency range. Starting from a realistic…
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
Tianying Wang, En Yen Puang, Marcus Lee +2
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keyp…