Výsledky vyhledávání - "Di Fiore, Francesco"

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Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation

Autor: Di Fiore, Francesco, Mainini, Laura

Publikováno v: Computers & Structures 296 (2024): 107302

The adoption of high-fidelity models for many-query optimization problems is majorly limited by the significant computational cost required for their evaluation at every query. Multifidelity Bayesian methods (MFBO) allow to include costly high-fideli

Externí odkaz: http://arxiv.org/abs/2312.05831

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

Autor: Di Fiore, Francesco, Nardelli, Michela, Mainini, Laura

Publikováno v: Archives of Computational Methods in Engineering (2024): 1-29

Science and Engineering applications are typically associated with expensive optimization problems to identify optimal design solutions and states of the system of interest. Bayesian optimization and active learning compute surrogate models through e

Externí odkaz: http://arxiv.org/abs/2303.01560

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Non-Myopic Multifidelity Bayesian Optimization

Autor: Di Fiore, Francesco, Mainini, Laura

Publikováno v: Knowledge-Based Systems 299 (2024): 111959

Bayesian optimization is a popular framework for the optimization of black box functions. Multifidelity methods allows to accelerate Bayesian optimization by exploiting low-fidelity representations of expensive objective functions. Popular multifidel

Externí odkaz: http://arxiv.org/abs/2207.06325

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