Laura Mainini

According to our database, Laura Mainini authored at least 9 papers between 2013 and 2024.

Collaborative distances:

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

2024

NM2-BO: Non-Myopic Multifidelity Bayesian Optimization.

Francesco Di Fiore, Laura Mainini

Knowl. Based Syst., 2024

2023

Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation.

Francesco Di Fiore, Laura Mainini

CoRR, 2023

Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal.

Francesco Di Fiore, Michela Nardelli, Laura Mainini

CoRR, 2023

2022

Non-Myopic Multifidelity Bayesian Optimization.

Francesco Di Fiore, Laura Mainini

CoRR, 2022

Analytical Benchmark Problems for Multifidelity Optimization Methods.

Laura Mainini, Andrea Serani, Markus P. Rumpfkeil, Edmondo A. Minisci, Domenico Quagliarella, Hayriye Pehlivan Solak, Sihmehmet Yildiz, S. Ficini, Riccardo Pellegrini, Francesco Di Fiore, Dean E. Bryson, Melike Nikbay, Matteo Diez, Phil Beran

CoRR, 2022

2021

Computational framework for real-time diagnostics and prognostics of aircraft actuation systems.

Pier Carlo Berri, Matteo D. L. Dalla Vedova, Laura Mainini

Comput. Ind., 2021

2020

Resource Aware Multifidelity Active Learning for Efficient Optimization.

Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini

CoRR, 2020

2014

Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle.

Douglas L. Allaire, D. Kordonowy, M. Lecerf, Laura Mainini, Karen Willcox

Proceedings of the International Conference on Computational Science, 2014

2013

An Offline/Online DDDAS Capability for Self-Aware Aerospace Vehicles.

Douglas L. Allaire, J. Chambers, Raghvendra V. Cowlagi, David N. Kordonowy, M. Lecerf, Laura Mainini, F. Ulker, Karen Willcox

Proceedings of the International Conference on Computational Science, 2013