Fresca, Stefania

1. A comprehensive deep learning-based approach to reduced order modeling\n of nonlinear time-dependent parametrized PDEs
   2020/01/12 by Stefania Fresca, Luca Dede’, Fresca, Stefania +3 · 21 citations
   Engineering · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
2. On latent dynamics learning in nonlinear reduced order modeling
   2024/08/27 by Nicola Farenga, Stefania Fresca, Farenga, Nicola +5 · 8 citations
   Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
3. Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
   2023/08/03 by Franco, Nicola Rares, Fresca, Stefania, Tombari, Filippo +1 · 5 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
4. Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs
   2022/02/05 by Ludovica Cicci, Stefania Fresca, Cicci, Ludovica +3 · 2 citations
   Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Electromagnetic Simulation and Numerical Methods
5. Efficient approximation of cardiac mechanics through reduced order modeling with deep learning-based operator approximation
   2022/02/08 by Cicci, Ludovica, Fresca, Stefania, Manzoni, Andrea +1 · 2 citations
   #FOS: Mathematics #Numerical Analysis (math.NA)
6. PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
   2024/05/14 by Simone Brivio, Stefania Fresca, Brivio, Simone +3 · 2 citations
   Engineering · Physics and Astronomy · #Combustion and flame dynamics #FOS: Computer and information sciences #FOS: Mathematics #Heat Transfer and Boiling Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
7. Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
   2022/01/25 by Federico Fatone, Stefania Fresca, Fatone, Federico +3 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems
8. Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
   2023/02/16 by Ludovica Cicci, Stefania Fresca, Cicci, Ludovica +7 · 1 citation
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Hydraulic and Pneumatic Systems
9. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
   2025/04/01 by Perrone, Niccolò, Lehmann, Fanny, Gabrielidis, Hugo +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
    2024/11/08 by Brivio, Simone, Fresca, Stefania, Manzoni, Andrea · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)