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Mario Lino Valencia

2 accepted papers

2025

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks

ICLR 2025oral

Physical systems with complex unsteady dynamics, such as fluid flows, are often poorly represented by a single mean solution. For many practical applications, it is crucial to access the full distribution of possible states, from which relevant statistics (e.g., RMS and two-point correlations) can b…

Cited by 2SourcePDFScholar
2023

Disentangled Generative Models for Robust Prediction of System Dynamics

ICML 2023poster

The use of deep neural networks for modelling system dynamics is increasingly popular, but long-term prediction accuracy and out-of-distribution generalization still present challenges. In this study, we address these challenges by considering the parameters of dynamical systems as factors of variat…