Geelen, Rudy

1. Learning physics-based reduced-order models from data using nonlinear manifolds
   2023/08/05 by Rudy Geelen, Geelen, Rudy, Laura Balzano +5 · 10 citations
   Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Mathematics #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
2. Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds
   2023/05/24 by Harsh Sharma, Hongliang Mu, Sharma, Harsh +9 · 6 citations
   Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Mathematical Physics (math-ph) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
3. Learning latent representations in high-dimensional state spaces using polynomial manifold constructions
   2023/06/23 by Geelen, Rudy, Balzano, Laura, Willcox, Karen · 2 citations
   #FOS: Mathematics #Numerical Analysis (math.NA)
4. Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach
   2024/08/30 by Yong, Jin Yi, Geelen, Rudy, Guilleminot, Johann · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)