PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs. - Simone Brivio; Stefania Fresca; Andrea Manzoni (CoRR, 2024)

Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs. - Simone Brivio; Stefania Fresca; Andrea Manzoni (CoRR, 2024)

Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition. - Simone Brivio; Stefania Fresca; Nicola Rares Franco; Andrea Manzoni (Adv. Comput. Math., 2024)

On latent dynamics learning in nonlinear reduced order modeling. - Nicola Farenga; Stefania Fresca; Simone Brivio; Andrea Manzoni (Neural Networks, 2025)

Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective. - Simone Brivio; Nicola Rares Franco (CoRR, 2025)