Dominique Poirel

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Sparse Bayesian Learning

Dirichlet Process

Top Venues

J. Comput. Phys.

Publications

Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar
Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification. CoRR (2023)
Brandon Robinson, Philippe Bisaillon, Jodi D. Edwards, Tetyana Kendzerska, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters. CoRR (2023)
Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar
Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations. CoRR (2023)
Philippe Bisaillon, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters. CoRR (2022)
Sandip Chajjed, Mohammad Khalil, Dominique Poirel, Chris L. Pettit, Abhijit Sarkar
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method. CoRR (2022)
Ajit Desai, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners. CoRR (2022)
Rimple Sandhu, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning. CoRR (2022)
Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar
Nonlinear sparse Bayesian learning for physics-based models. J. Comput. Phys. 426 (2021)
Rimple Sandhu, Dominique Poirel, Chris L. Pettit, Mohammad Khalil, Abhijit Sarkar
Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations. J. Comput. Phys. 316 (2016)