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Stefania Fresca

Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response

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Apr 01, 2025
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Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks

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Feb 06, 2025
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HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs

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Jan 08, 2025
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Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs

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Nov 08, 2024
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On latent dynamics learning in nonlinear reduced order modeling

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Aug 27, 2024
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PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs

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May 14, 2024
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Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks

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Aug 03, 2023
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Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

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Nov 13, 2022
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Virtual twins of nonlinear vibrating multiphysics microstructures: physics-based versus deep learning-based approaches

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May 12, 2022
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Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs

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Feb 05, 2022
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