Sparsistent Model Discovery

In this repo, we share the code, data and results of the paper (https://arxiv.org/abs/2106.11936)

(1) Randomised Adaptive Lasso:

we propose and implement a randomized adaptive Lasso with stability selection and error control

see 'pure_sparse_regression_based/pdeX/sparsity_estimators.py'

(2) ... within DeepMod

we implement the latter sparsity estimator in DeepMod

see 'deep_learning_based' folder which contains notebooks with examples

for example the Kuramoto-Sivashinsky equation example can be reproduced by running 'xKS50.ipynb'

Requirements: conda and pip requirements are shared (see .txt files)