Brandon Robinson

According to our database, Brandon Robinson authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.

Brandon Robinson, Philippe Bisaillon, Jodi D. Edwards, Tetyana Kendzerska, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar

CoRR, 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

Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters.

Philippe Bisaillon, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar

CoRR, 2022

Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing.

Sudhi P. V., Victorita Dolean, Pierre Jolivet, Brandon Robinson, Jodi D. Edwards, Tetyana Kendzerska, Abhijit Sarkar

CoRR, 2022