Rimple Sandhu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 5

Top Topics

Sparse Bayesian Learning

Automatic Relevance Determination

Bayesian Inference

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)
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)
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)