Constante-Amores, C. Ricardo

1. Dynamics of a Data-Driven Low-Dimensional Model of Turbulent Minimal Pipe Flow
   2024/08/06 by C. Ricardo Constante-Amores, Constante-Amores, C. Ricardo, Alec J. Linot +3 · 4 citations
   Physics and Astronomy · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Model Reduction and Neural Networks
2. On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
   2024/11/20 by Buzhardt, Jake, Constante-Amores, C. Ricardo, Graham, Michael D. · 2 citations
   #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
3. Data-driven prediction of large-scale spatiotemporal chaos with distributed low-dimensional models
   2024/10/02 by Constante-Amores, C. Ricardo, Linot, Alec J., Graham, Michael D. · 2 citations
   #Chaotic Dynamics (nlin.CD) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
4. Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches
   2023/10/10 by Constante-Amores, C. Ricardo, Linot, Alec J., Graham, Michael D. · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)