Jerrad Hampton

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Soft Actor-Critic Reinforcement Learning for Reactive Current Injection Protocols.
AI (2)
Mohana Fathollahi, Antonio Camacho, Cecilio Angulo, Jerrad Hampton
2024 — conf
Improving Voltage Ride-Through Procedures in Distributed Generation Systems by Reinforcement Learning.
CCIA
Antonio Camacho, Manel Velasco, Pau Martí, Cecilio Angulo, Jerrad Hampton
2023 J jnl
A massively parallel implementation of multilevel Monte Carlo for finite element models.
Math. Comput. Simul.
Santiago Badia, Jerrad Hampton, Javier Principe
2021 J jnl
A Massively Parallel Implementation of Multilevel Monte Carlo for Finite Element Models.
CoRR
Santiago Badia, Jerrad Hampton, Javier Principe
2021 J jnl
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification.
CoRR
Felix Newberry, Jerrad Hampton, Kenneth E. Jansen, Alireza Doostan
2019 J jnl
Embedded multilevel Monte Carlo for uncertainty quantification in random domains.
CoRR
Santiago Badia, Jerrad Hampton, Javier Principe
2019 J jnl
Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach.
CoRR
Subhayan De, Jerrad Hampton, Kurt Maute, Alireza Doostan
2018 J jnl
Basis adaptive sample efficient polynomial chaos (BASE-PC).
J. Comput. Phys.
Jerrad Hampton, Alireza Doostan
2018 J jnl
Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction.
J. Comput. Phys.
Jerrad Hampton, Hillary R. Fairbanks, Akil Narayan, Alireza Doostan
2016 J jnl
On polynomial chaos expansion via gradient-enhanced ℓ
J. Comput. Phys.
Ji Peng, Jerrad Hampton, Alireza Doostan
2015 J jnl
Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies.
J. Comput. Phys.
Jerrad Hampton, Alireza Doostan
2014 J jnl
A weighted l
J. Comput. Phys.
Ji Peng, Jerrad Hampton, Alireza Doostan