Publications

Paolo Conti, Mengwu Guo, Attilio Frangi, Andrea Manzoni (2025). Progressive multi-fidelity learning for physical system predictions. arXiv.

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Luca Rosafalco, Paolo Conti, Andrea Manzoni, Stefano Mariani, Attilio Frangi (2025). Online learning in bifurcating dynamic systems via SINDy and Kalman filterings. Nonlinear Dynamics.

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Paolo Conti, Jonas Kneifl, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz (2024). VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification. arXiv.

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Luca Rosafalco, Paolo Conti, Andrea Manzoni, Stefano Mariani, Attilio Frangi (2024). EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics. CMAME.

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Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz (2024). Multi-fidelity reduced-order surrogate modeling. Proceedings of Royal Society A.

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Paolo Conti, Giorgio Gobat, Stefania Fresca, Andrea Manzoni, Attilio Frangi (2023). Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions. CMAME.

Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven (2023). Multi-fidelity surrogate modeling using long short-term memory networks. CMAME.

Mengwu Guo, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven (2022). Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities. CMAME.

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