
A novel equation discovery method based on Kernel learning and Bayesian Spike-and-Slab priors (KBASS) that is flexible, expressive, and robust to data sparsity and noise, with efficient posterior inference and function estimation.


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efficient-bayesian-kernel-learning-for-discovering-governing-equations-from-sparse-and-noisy-data


Efficient Bayesian Kernel Learning for Discovering Governing Equations from Sparse and Noisy Data
