Discovering Sparse Interpretable Dynamics from Partial Observations

22 July 2021

Papers citing "Discovering Sparse Interpretable Dynamics from Partial Observations"

4 / 4 papers shown

Title
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Deep Learning and Symbolic Regression for Discovering Parametric Equations Michael Zhang Samuel Kim Peter Y. Lu M. Soljavcić 24 18 0 01 Jul 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 32 82 0 13 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021