Rimple Sandhu

According to our database, Rimple Sandhu authored at least 5 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification.

Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar

CoRR, 2023

Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations.

Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar

CoRR, 2023

2022

Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning.

Rimple Sandhu, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar

CoRR, 2022

2021

Nonlinear sparse Bayesian learning for physics-based models.

Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar

J. Comput. Phys., 2021

2016

Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations.

Rimple Sandhu, Dominique Poirel, Chris L. Pettit, Mohammad Khalil, Abhijit Sarkar

J. Comput. Phys., 2016