Jerrad Hampton

According to our database, Jerrad Hampton authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Voltage Ride-Through Procedures in Distributed Generation Systems by Reinforcement Learning.

Antonio Camacho, Manel Velasco, Pau Martí, Cecilio Angulo, Jerrad Hampton

Proceedings of the Artificial Intelligence Research and Development, 2024

2023

A massively parallel implementation of multilevel Monte Carlo for finite element models.

Santiago Badia, Jerrad Hampton, Javier Principe

Math. Comput. Simul., November, 2023

2021

Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification.

Felix Newberry, Jerrad Hampton, Kenneth E. Jansen, Alireza Doostan

CoRR, 2021

2019

Embedded multilevel Monte Carlo for uncertainty quantification in random domains.

Santiago Badia, Jerrad Hampton, Javier Principe

CoRR, 2019

Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach.

Subhayan De, Jerrad Hampton, Kurt Maute, Alireza Doostan

CoRR, 2019

2018

Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction.

Jerrad Hampton, Hillary R. Fairbanks, Akil Narayan, Alireza Doostan

J. Comput. Phys., 2018

Basis adaptive sample efficient polynomial chaos (BASE-PC).

Jerrad Hampton, Alireza Doostan

J. Comput. Phys., 2018

2016

On polynomial chaos expansion via gradient-enhanced ℓ₁-minimization.

Ji Peng, Jerrad Hampton, Alireza Doostan

J. Comput. Phys., 2016

2015

Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies.

Jerrad Hampton, Alireza Doostan

J. Comput. Phys., 2015

2014

A weighted l₁-minimization approach for sparse polynomial chaos expansions.

Ji Peng, Jerrad Hampton, Alireza Doostan

J. Comput. Phys., 2014