SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs

24 May 2025

Papers citing "SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs"

6 / 6 papers shown

Title
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics C. Salvi M. Lemercier A. Gerasimovičs AI4CE 103 45 0 19 Oct 2021
Feature Engineering with Regularity Structures I. Chevyrev A. Gerasimovičs H. Weber 143 11 0 12 Aug 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 516 2,456 0 18 Oct 2020
Neural Rough Differential Equations for Long Time Series James Morrill C. Salvi Patrick Kidger James Foster Terry Lyons AI4TS 73 133 0 17 Sep 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 129 483 0 18 May 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,162 0 08 Oct 2019