Kyle David Julian
Title
Cited by
Cited by
Year
Reluplex: An efficient SMT solver for verifying deep neural networks
G Katz, C Barrett, DL Dill, K Julian, MJ Kochenderfer
International Conference on Computer Aided Verification, 97-117, 2017
9532017
Policy compression for aircraft collision avoidance systems
KD Julian, J Lopez, JS Brush, MP Owen, MJ Kochenderfer
2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 1-10, 2016
1532016
The marabou framework for verification and analysis of deep neural networks
G Katz, DA Huang, D Ibeling, K Julian, C Lazarus, R Lim, P Shah, ...
International Conference on Computer Aided Verification, 443-452, 2019
1442019
Towards proving the adversarial robustness of deep neural networks
G Katz, C Barrett, DL Dill, K Julian, MJ Kochenderfer
arXiv preprint arXiv:1709.02802, 2017
962017
Deep neural network compression for aircraft collision avoidance systems
KD Julian, MJ Kochenderfer, MP Owen
Journal of Guidance, Control, and Dynamics 42 (3), 598-608, 2019
712019
Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning
KD Julian, MJ Kochenderfer
Journal of Guidance, Control, and Dynamics 42 (8), 1768-1778, 2019
362019
Neural network guidance for UAVs
KD Julian, MJ Kochenderfer
AIAA Guidance, Navigation, and Control Conference, 1743, 2017
312017
Toward scalable verification for safety-critical deep networks
L Kuper, G Katz, J Gottschlich, K Julian, C Barrett, M Kochenderfer
arXiv preprint arXiv:1801.05950, 2018
232018
Guaranteeing safety for neural network-based aircraft collision avoidance systems
KD Julian, MJ Kochenderfer
2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 1-10, 2019
142019
Verifying aircraft collision avoidance neural networks through linear approximations of safe regions
KD Julian, S Sharma, JB Jeannin, MJ Kochenderfer
arXiv preprint arXiv:1903.00762, 2019
132019
Parallelization techniques for verifying neural networks
H Wu, A Ozdemir, A Zeljic, K Julian, A Irfan, D Gopinath, S Fouladi, G Katz, ...
# PLACEHOLDER_PARENT_METADATA_VALUE# 1, 128-137, 2020
112020
A reachability method for verifying dynamical systems with deep neural network controllers
KD Julian, MJ Kochenderfer
arXiv preprint arXiv:1903.00520, 2019
92019
Autonomous distributed wildfire surveillance using deep reinforcement learning
KD Julian, MJ Kochenderfer
2018 AIAA Guidance, Navigation, and Control Conference, 1589, 2018
92018
Validation of image-based neural network controllers through adaptive stress testing
KD Julian, R Lee, MJ Kochenderfer
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
82020
Utility decomposition with deep corrections for scalable planning under uncertainty
M Bouton, K Julian, A Nakhaei, K Fujimura, MJ Kochenderfer
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
82018
Application of machine learning to link prediction
K Julian, W Lu
72016
Uav depth perception from visual images using a deep convolutional neural network
K Julian, J Mern, R Tompa
Tech. Rep., 2017
62017
Decomposition methods with deep corrections for reinforcement learning
M Bouton, KD Julian, A Nakhaei, K Fujimura, MJ Kochenderfer
Autonomous Agents and Multi-Agent Systems 33 (3), 330-352, 2019
52019
Visual depth mapping from monocular images using recurrent convolutional neural networks
JM Mern, KD Julian, RE Tompa, MJ Kochenderfer
AIAA Scitech 2019 Forum, 1189, 2019
52019
Global Optimization of Objective Functions Represented by ReLU Networks
CA Strong, H Wu, A Zeljić, KD Julian, G Katz, C Barrett, MJ Kochenderfer
arXiv preprint arXiv:2010.03258, 2020
42020
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Articles 1–20