Federico Pichi

1. A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
   2023/05/15 by Federico Pichi, Beatriz Moya, Pichi, Federico +3 · 7 citations
   Engineering · Materials Science · Physics and Astronomy · #65M22 #65M60 #68T07 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems
2. GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
   2024/06/05 by Oisín M. Morrison, Morrison, Oisín M., Federico Pichi +3 · 4 citations
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Medical Imaging and Analysis #Numerical Analysis (math.NA)
3. Neural empirical interpolation method for nonlinear model reduction
   2024/06/05 by Max Hirsch, Federico Pichi, Hirsch, Max +3 · 3 citations
   Computer Science · Engineering · #41A05 #41A46 #65N22 #68T07 #76A15 #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
4. Reduced basis approaches for parametrized bifurcation problems held by non-linear Von Kármán equations
   2018/04/05 by Federico Pichi, Pichi, Federico, Gianluigi Rozza +1 · 1 citation
   Computer Science · Engineering · Mathematics · #Elasticity and Wave Propagation #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Numerical methods for differential equations
5. Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows
   2024/10/28 by Surabhi Rathore, Pasquale Claudio Africa, Rathore, Surabhi +9 · 2 citations
   Physics and Astronomy · Engineering · Medicine · #Model Reduction and Neural Networks #Elasticity and Material Modeling #Cardiovascular Function and Risk Factors
6. A Dynamical Approximation Scheme on the Stiefel manifold for Wasserstein Gradient Flows
   2026/07/19 by Isabella Carla Gonnella, Olga Mula, Federico Pichi +1
   #math.NA #cs.NA