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Kyle David Julian
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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
13022017
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
2462019
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
1882016
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
1152019
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
1092017
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
592019
Neural network guidance for UAVs
KD Julian, MJ Kochenderfer
AIAA Guidance, Navigation, and Control Conference, 1743, 2017
372017
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
332018
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
322019
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
272020
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
222020
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
182019
A reachability method for verifying dynamical systems with deep neural network controllers
KD Julian, MJ Kochenderfer
arXiv preprint arXiv:1903.00520, 2019
142019
Global optimization of objective functions represented by ReLU networks
CA Strong, H Wu, A Zeljiĉ, KD Julian, G Katz, C Barrett, MJ Kochenderfer
Machine Learning, 1-28, 2021
132021
Reluplex: a calculus for reasoning about deep neural networks
G Katz, C Barrett, DL Dill, K Julian, MJ Kochenderfer
Formal Methods in System Design, 1-30, 2021
132021
Autonomous distributed wildfire surveillance using deep reinforcement learning
KD Julian, MJ Kochenderfer
2018 AIAA Guidance, Navigation, and Control Conference, 1589, 2018
122018
Reachability analysis for neural network aircraft collision avoidance systems
KD Julian, MJ Kochenderfer
Journal of Guidance, Control, and Dynamics 44 (6), 1132-1142, 2021
112021
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
112018
Application of machine learning to link prediction
K Julian, W Lu
arXiv, 2016
102016
UAV depth perception from visual images using a deep convolutional neural network
K Julian, J Mern, R Tompa
Tech. Rep., 2017
82017
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