Publications

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.

PDF Cite Code DOI

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.

PDF Cite Code Project DOI

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.

PDF Cite Code DOI

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.

PDF Cite Code DOI

Paolo Conti, Robert Ford (2013). An example conference paper. In ICW.

PDF Cite Code Dataset Slides Video Source Document