Paolo Conti | DeepAI

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research

∙ 09/01/2023

Multi-fidelity reduced-order surrogate modeling

High-fidelity numerical simulations of partial differential equations (P...

0 Paolo Conti, et al. ∙

research

∙ 11/13/2022

Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

Highly accurate simulations of complex phenomena governed by partial dif...

0 Paolo Conti, et al. ∙

research

∙ 08/05/2022

Multi-fidelity surrogate modeling using long short-term memory networks

When evaluating quantities of interest that depend on the solutions to d...

1 Paolo Conti, et al. ∙

research

∙ 02/26/2021

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

Highly accurate numerical or physical experiments are often time-consumi...

0 Mengwu Guo, et al. ∙