Andrea Manzoni

1. Multi-fidelity reduced-order surrogate modeling
   2023/09/01 by Paolo Conti, Conti, Paolo, Mengwu Guo +9 · 7 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 · 6 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. Robust optimal density control of robotic swarms
   2022/05/25 by Carlo Sinigaglia, Andrea Manzoni, Sinigaglia, Carlo +5 · 3 citations
   Computer Science · Mathematics · Medicine · #Distributed Control Multi-Agent Systems #Mathematical Biology Tumor Growth #Mathematical and Theoretical Epidemiology and Ecology Models
4. Density control of large-scale particles swarm through PDE-constrained optimization
   2021/04/13 by Carlo Sinigaglia, Andrea Manzoni, Sinigaglia, Carlo +3 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Cellular Mechanics and Interactions #FOS: Mathematics #Mathematical Biology Tumor Growth #Micro and Nano Robotics #Optimization and Control (math.OC)
5. Non intrusive reduced order modeling of parametrized PDEs by kernel POD\n and neural networks
   2021/03/31 by Matteo Salvador, Salvador, Matteo, Luca Dede’ +3 · 2 citations
   Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
6. Reduced order modeling with shallow recurrent decoder networks
   2025/02/15 by Matteo Tomasetto, Jan P. Williams, Tomasetto, Matteo +7 · 9 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Generative Adversarial Networks and Image Synthesis
7. Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs
   2022/02/05 by Ludovica Cicci, Cicci, Ludovica, Stefania Fresca +3 · 2 citations
   Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Electromagnetic Simulation and Numerical Methods
8. Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces
   2022/03/22 by Nicola Rares Franco, Andrea Manzoni, Franco, Nicola Rares +3 · 2 citations
   Computer Science · #Neural Networks and Applications
9. Statistical closure modeling for reduced-order models of stationary\n systems by the ROMES method
   2019/01/09 by Stefano Pagani, Andrea Manzoni, Pagani, Stefano +3 · 1 citation
   Engineering · Physics and Astronomy · #Fault Detection and Control Systems #Model Reduction and Neural Networks #Advanced Control Systems Optimization
10. PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
    2024/05/14 by Simone Brivio, Brivio, Simone, Stefania Fresca +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)
11. 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
12. Fully convolutional networks for structural health monitoring through\n multivariate time series classification
    2020/02/12 by Luca Rosafalco, Andrea Manzoni, Rosafalco, Luca +5 · 1 citation
    Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Structural Health Monitoring Techniques #Water Systems and Optimization #electronic engineering #information engineering
13. 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
14. Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
    2023/09/14 by Piermario Vitullo, Alessio Colombo, Vitullo, Piermario +7 · 1 citation
    Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
15. Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems
    2026/07/17 by Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1
    #cs.LG #math.OC
16. HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems
    2026/07/21 by Nicolò Botteghi, Gabriele Pascali, Urban Fasel +1
    #cs.LG
17. Real-time optimal control with shallow recurrent decoder networks
    2026/07/21 by Matteo Tomasetto, Francesco Braghin, J. Nathan Kutz +1
    #cs.LG #math.OC