L. Nguyen

发表

Uncertainty Quantification for Model Parameters and Hidden States in Bayesian Dynamic Linear Models

J. Goulet, L. Nguyen, I. Gaudot, 2018 .

Uncertainty quantification for model parameters and hidden state variables in Bayesian dynamic linear models

James-A. Goulet, Luong Ha Nguyen, Ianis Gaudot, 2018, Structural Control and Health Monitoring.

Real‐time anomaly detection with Bayesian dynamic linear models

James-A. Goulet, Luong Ha Nguyen, J. Goulet, 2019, Structural Control and Health Monitoring.

Anomaly detection with the Switching Kalman Filter for structural health monitoring

James-A. Goulet, Luong Ha Nguyen, J. Goulet, 2018 .

Tractable Approximate Gaussian Inference for Bayesian Neural Networks

J. Goulet, Saeid Amiri, L. Nguyen, 2020, J. Mach. Learn. Res..

Anomaly detection using state‐space models and reinforcement learning

J. Goulet, L. Nguyen, S. Khazaeli, 2021, Structural Control and Health Monitoring.

Analytically Tractable Bayesian Deep Q-Learning pdf

Luong Ha Nguyen, James-A. Goulet, J. Goulet, 2021, ArXiv.

Analytically Tractable Inference in Neural Networks – An Alternative to Backpropagation

J. Goulet, L. Nguyen, 2021 .

A Kernel-Based Method for Modeling Non-harmonic Periodic Phenomena in Bayesian Dynamic Linear Models

James-A. Goulet, Luong Ha Nguyen, Ianis Gaudot, 2019, Front. Built Environ..

Structural Health Monitoring with dependence on non-harmonic periodic hidden covariates

James-A. Goulet, Luong Ha Nguyen, J. Goulet, 2018, Engineering Structures.