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Aaron Tuor
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Deep learning for unsupervised insider threat detection in structured cybersecurity data streams
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
Proceedings of AI for Cyber Security Workshop at AAAI 2017, 2017
3892017
Recurrent neural network attention mechanisms for interpretable system log anomaly detection
A Brown, A Tuor, B Hutchinson, N Nichols
Proceedings of the first workshop on machine learning for computing systems, 1-8, 2018
2082018
Physics-constrained deep learning of multi-zone building thermal dynamics
J Drgoňa, AR Tuor, V Chandan, DL Vrabie
Energy and Buildings 243, 110992, 2021
762021
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
A Tuor, R Baerwolf, N Knowles, B Hutchinson, N Nichols, R Jasper
Artificial Intelligence in Cyber Security Workshop; AAAI-2018, 2018
552018
Systematic evaluation of backdoor data poisoning attacks on image classifiers
L Truong, C Jones, B Hutchinson, A August, B Praggastis, R Jasper, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
392020
Constrained neural ordinary differential equations with stability guarantees
A Tuor, J Drgona, D Vrabie
arXiv preprint arXiv:2004.10883, 2020
342020
Learning constrained adaptive differentiable predictive control policies with guarantees
J Drgona, A Tuor, D Vrabie
arXiv preprint arXiv:2004.11184, 2020
182020
Constrained block nonlinear neural dynamical models
E Skomski, S Vasisht, C Wight, A Tuor, J Drgoňa, D Vrabie
2021 American Control Conference (ACC), 3993-4000, 2021
172021
NeuroMANCER: Neural modules with adaptive nonlinear constraints and efficient regularizations
A Tuor, J Drgona, E Skomski, J Koch, Z Chen, D Vrabie
URL https://github. com/pnnl/neuromancer, 2021
152021
Deep learning explicit differentiable predictive control laws for buildings
J Drgoňa, A Tuor, E Skomski, S Vasisht, D Vrabie
IFAC-PapersOnLine 54 (6), 14-19, 2021
152021
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems
J Drgoňa, K Kiš, A Tuor, D Vrabie, M Klaučo
Journal of Process Control 116, 80-92, 2022
142022
Deep learning classification of cheatgrass invasion in the Western United States using biophysical and remote sensing data
KB Larson, AR Tuor
Remote Sensing 13 (7), 1246, 2021
132021
Differentiable predictive control: An mpc alternative for unknown nonlinear systems using constrained deep learning
J Drgona, K Kis, A Tuor, D Vrabie, M Klauco
arXiv preprint arXiv:2011.03699 1, 2020
102020
Learning Stochastic Parametric Diferentiable Predictive Control Policies
J Drgoňa, S Mukherjee, A Tuor, M Halappanavar, D Vrabie
IFAC-PapersOnLine 55 (25), 121-126, 2022
92022
Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. arXiv 2017
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
arXiv preprint arXiv:1710.00811, 0
8
Neural lyapunov differentiable predictive control
S Mukherjee, J Drgoňa, A Tuor, M Halappanavar, D Vrabie
2022 IEEE 61st Conference on Decision and Control (CDC), 2097-2104, 2022
72022
Koopman-based differentiable predictive control for the dynamics-aware economic dispatch problem
E King, J Drgoňa, A Tuor, S Abhyankar, C Bakker, A Bhattacharya, ...
2022 American Control Conference (ACC), 2194-2201, 2022
72022
Constrained physics-informed deep learning for stable system identification and control of unknown linear systems
J Drgona, A Tuor, D Vrabie
arXiv preprint arXiv:2004.11184, 2020
72020
Predicting user roles from computer logs using recurrent neural networks
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
72017
Differentiable predictive control with safety guarantees: A control barrier function approach
WS Cortez, J Drgona, A Tuor, M Halappanavar, D Vrabie
2022 IEEE 61st Conference on Decision and Control (CDC), 932-938, 2022
62022
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