| Anomaly detection with the switching kalman filter for structural health monitoring LH Nguyen, JA Goulet Structural Control and Health Monitoring 25 (4), e2136, 2018 | 59 | 2018 |
| Real‐time anomaly detection with Bayesian dynamic linear models LH Nguyen, JA Goulet Structural Control and Health Monitoring 26 (9), e2404, 2019 | 24 | 2019 |
| Tractable approximate Gaussian inference for Bayesian neural networks JA Goulet, LH Nguyen, S Amiri Journal of Machine Learning Research 22 (251), 1-23, 2021 | 14 | 2021 |
| Anomaly detection using state‐space models and reinforcement learning S Khazaeli, LH Nguyen, JA Goulet Structural Control and Health Monitoring 28 (6), e2720, 2021 | 9 | 2021 |
| A kernel-based method for modeling non-harmonic periodic phenomena in Bayesian dynamic linear models LH Nguyen, I Gaudot, S Khazaeli, JA Goulet Frontiers in Built Environment 5, 8, 2019 | 9 | 2019 |
| Structural health monitoring with dependence on non-harmonic periodic hidden covariates LH Nguyen, JA Goulet Engineering Structures 166, 187-194, 2018 | 9 | 2018 |
| Uncertainty quantification for model parameters and hidden state variables in Bayesian dynamic linear models LH Nguyen, I Gaudot, JA Goulet Structural Control and Health Monitoring, e2309, 2018 | 6 | 2018 |
| The Gaussian multiplicative approximation for state‐space models B Deka, L Ha Nguyen, S Amiri, JA Goulet Structural Control and Health Monitoring 29 (3), e2904, 2022 | 5 | 2022 |
| Analytically tractable hidden-states inference in Bayesian neural networks LH Nguyen, JA Goulet Journal of Machine Learning Research 23 (50), 1-33, 2022 | 5 | 2022 |
| Analytically tractable inference in deep neural networks LH Nguyen, JA Goulet arXiv preprint arXiv:2103.05461, 2021 | 4 | 2021 |
| Hiking up that hill with cogment-verse: Train & operate multi-agent systems learning from humans SK Gottipati, LH Nguyen, C Mars, ME Taylor Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 2 | 2023 |
| Openbdlm, an open-source software for structural health monitoring using bayesian dynamic linear models I Gaudot, LH Nguyen, S Khazaeli, JA Goulet | 2 | 2019 |
| Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks B Deka, LH Nguyen, JA Goulet Neurocomputing 572, 127183, 2024 | | 2024 |
| Bayesian Neural Networks for Probabilistic Surrogate Models–Uncertainty Quantification, Propagation, and Sensitivity Analysis JA Goulet, LH Nguyen | | 2023 |
| Analytically Tractable Inference in Neural Networks–An Alternative to Backpropagation LH Nguyen, JA Goulet Bayesian Deep Learning workshop, NeurIPS 2021, 2021 | | 2021 |
| Analytically Tractable Bayesian Deep Q-Learning L Ha, JA Goulet arXiv preprint arXiv:2106.11086, 2021 | | 2021 |
| Real-time Anomaly Detection in the Behaviour of Structures LH Nguyen Ecole Polytechnique, Montreal (Canada), 2019 | | 2019 |
| Uncertainty Quantification for Model Parameters and Hidden States in Bayesian Dynamic Linear Models LH Nguyen, I Gaudot, JA Goulet | | 2018 |
| Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans SK Gottipati, LH Nguyen, C Mars, ME Taylor | | |
James-A. GouletProfessorVerified email at polymtl.ca
