Port-Hamiltonian neural networks extended to PDEs recover the Hamiltonian and dissipation of nonlinear string dynamics from data and outperform non-physics-informed baselines.
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A direct sampler for the global scale parameter in collapsed Gibbs sampling for horseshoe-type sparse regression, enabled by strategic spectral decompositions computed once per scan.
Asteroseismic fits to g-dominated mixed modes in four red giants suggest convective overshooting rises with mass and yield a core rotation rate of 0.7409 μHz for KIC 11968334.
A hybrid RDC model tuned by genetic algorithms and XGBoost recovers parameters to simulate wildfire spread in Argentine Patagonia.
citing papers explorer
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Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Port-Hamiltonian neural networks extended to PDEs recover the Hamiltonian and dissipation of nonlinear string dynamics from data and outperform non-physics-informed baselines.
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Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
A direct sampler for the global scale parameter in collapsed Gibbs sampling for horseshoe-type sparse regression, enabled by strategic spectral decompositions computed once per scan.
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Probing Red Giant Interiors with G-Dominated Mixed Modes I: The Cases of KIC 9145955, KIC 9970396, KIC 9882316 and KIC 11968334
Asteroseismic fits to g-dominated mixed modes in four red giants suggest convective overshooting rises with mass and yield a core rotation rate of 0.7409 μHz for KIC 11968334.
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Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina
A hybrid RDC model tuned by genetic algorithms and XGBoost recovers parameters to simulate wildfire spread in Argentine Patagonia.