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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…

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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…