Aaron Tuor
Cited by
Cited by
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
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
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
Constrained neural ordinary differential equations with stability guarantees
A Tuor, J Drgona, D Vrabie
arXiv preprint arXiv:2004.10883, 2020
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
Physics-constrained deep learning of multi-zone building thermal dynamics
J Drgoňa, AR Tuor, V Chandan, DL Vrabie
Energy and Buildings 243, 110992, 2021
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
NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations
A Tuor, J Drgona, E Skomski
URL https://github. com/pnnl/neuromancer, 2021
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
Learning constrained adaptive differentiable predictive control policies with guarantees
J Drgona, A Tuor, D Vrabie
arXiv preprint arXiv:2004.11184, 2020
Predicting user roles from computer logs using recurrent neural networks
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
Thirty-First AAAI Conference on Artificial Intelligence, 2017
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
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
Automating discovery of physics-informed neural state space models via learning and evolution
E Skomski, J Drgoňa, A Tuor
Learning for Dynamics and Control, 980-991, 2021
Spectral analysis and stability of deep neural dynamics
J Drgona, E Skomski, S Vasisht, A Tuor, D Vrabie
arXiv preprint arXiv:2011.13492, 2020
Constrained physics-informed deep learning for stable system identification and control of unknown linear systems
J Drgona, A Tuor, D Vrabie
URL http://arxiv. org/abs, 2004
Fuzzy simplicial networks: A topology-inspired model to improve task generalization in few-shot learning
H Kvinge, Z New, N Courts, JH Lee, LA Phillips, CD Corley, A Tuor, ...
AAAI Workshop on Meta-Learning and MetaDL Challenge, 77-89, 2021
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem
E King, J Drgona, A Tuor, S Abhyankar, C Bakker, A Bhattacharya, ...
arXiv preprint arXiv:2203.08984, 2022
Learning Stochastic Parametric Differentiable Predictive Control Policies
J Drgoňa, S Mukherjee, A Tuor, M Halappanavar, D Vrabie
arXiv preprint arXiv:2203.01447, 2022
Physics-Informed Neural State Space Models via Learning and Evolution
E Skomski, J Drgona, A Tuor
arXiv preprint arXiv:2011.13497, 2020
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