11 citations · 16 across the 3 of their papers we have counts for
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cs.LG2021★ 11 cited
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi, Maud Lemercier, Andris Gerasimovics
Stochastic partial differential equations (SPDEs) are the mathematical tool of choice for modelling spatiotemporal PDE-dynamics under the influence of randomness. Based on the noti…
stat.ML2021★ 5 cited
Feature Engineering with Regularity Structures
Ilya Chevyrev, Andris Gerasimovics, Hendrik Weber
We investigate the use of models from the theory of regularity structures as features in machine learning tasks. A model is a polynomial function of a space-time signal designed to…