Approximate Gaussian Variance Inference (AGVI)

pyTAGI review: How does the backward(.) work

Anomaly Detection with Switching Kalman Filter and Imitation Learning

Quantifying the relative change in costs due to delayed maintenance actions on infrastructure

Coupling LSTM neural networks and state-space models through analytically tractable inference

Analytically Tractable Heteroscedastic Uncertainty Quantification in Bayesian Neural Networks

Enhancing StructuralAnomaly Detection Using a Bounded Autoregressive Component

Bayesian Neural Networks for Infrastructure Probabilistic Deterioration Models

Seminar | Goulet | Separating epistemic and aleatory uncertainties using conditional BMS

Approximate Gaussian Variance Inference (AGVI)

Approximate Gaussian Variance Inference for State-Space Models

Goulet | Seminar | How do neural networks learn?

Hierarchical Reinforcement Learning for Transportation Infrastructure Maintenance Planning