Concepedia

Kyle D. Julian

KD

14

Publications

901

Citations

13

H-Index

2016

Active since

Affiliations

Stanford University(Current)

Vaughn College of Aeronautics and Technology

MIT Lincoln Laboratory

Massachusetts Institute of Technology

Kyle D. Julian is an author at Stanford University specializing in engineering, computer science, and artificial intelligence.

Top concepts

EngineeringComputer ScienceArtificial IntelligenceDeep LearningMachine LearningSystems EngineeringSpace EngineeringIntelligent SystemsVerificationRobot Learning

Publications per year

2016–2021

14

Publications

14

Policy compression for aircraft collision avoidance systems

Kyle D. Julian, Jessica Lopez, Jeffrey S. Brush et al. · 2016 · 243 citations

Artificial Intelligence, Trajectory Planning, Machine Learning +14

Deep Neural Network Compression for Aircraft Collision Avoidance Systems

Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen · Journal of Guidance Control and Dynamics · 2018 · 174 citations · Full text

Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning

Kyle D. Julian, Mykel J. Kochenderfer · Journal of Guidance Control and Dynamics · 2019 · 122 citations

Artificial Intelligence, Engineering, Machine Learning +17

Towards Proving the Adversarial Robustness of Deep Neural Networks

Guy Katz, Clark Barrett, David L. Dill et al. · Electronic Proceedings in Theoretical Computer Science · 2017 · 115 citations · Full text

Artificial Intelligence, Ai Reliability, Adversarial Robustness +14

Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems

Kyle D. Julian, Mykel J. Kochenderfer · 2019 · 49 citations · Full text

Artificial Intelligence, Engineering, Aerospace Engineering +13

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