5 citations · 12 across the 6 of their papers we have counts for
6 papers
OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges
Zachary Hamida, Blanche Laurent, James-A. Goulet
This paper describes OpenIPDM software for modelling the deterioration process of infrastructures using network-scale visual inspection data. In addition to the deterioration state…
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
Luong-Ha Nguyen, James-A. Goulet
With few exceptions, neural networks have been relying on backpropagation and gradient descent as the inference engine in order to learn the model parameters, because the closed-fo…
Analytically Tractable Bayesian Deep Q-Learning
Luong Ha, Nguyen, James-A. Goulet
Reinforcement learning (RL) has gained increasing interest since the demonstration it was able to reach human performance on video game benchmarks using deep Q-learning (DQN). The…
Analytically Tractable Inference in Deep Neural Networks
Luong-Ha Nguyen, James-A. Goulet
Since its inception, deep learning has been overwhelmingly reliant on backpropagation and gradient-based optimization algorithms in order to learn weight and bias parameter values.…
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
James-A. Goulet, Luong Ha Nguyen, Saeid Amiri
In this paper, we propose an analytical method for performing tractable approximate Gaussian inference (TAGI) in Bayesian neural networks. The method enables the analytical Gaussia…
The Nataf-Beta Random Field Classifier: An Extension of the Beta Conjugate Prior to Classification Problems
James-A. Goulet
This paper presents the Nataf-Beta Random Field Classifier, a discriminative approach that extends the applicability of the Beta conjugate prior to classification problems. The app…