Brandon Robinson

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Sparse Bayesian Learning

Automatic Relevance Determination

Computational Challenges

Dirichlet Process

Top Venues

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)
Sudhi P. V., Victorita Dolean, Pierre Jolivet, Brandon Robinson, Jodi D. Edwards, Tetyana Kendzerska, Abhijit Sarkar
Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing. 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)