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1. Parsimonious Neural Networks Learn Interpretable Physical Laws

   Online Presentations | 21 Jun 2021 | Contributor(s):: Saaketh Desai

   Machine learning methods are widely used as surrogate models in the physical sciences, but less explored is the use of machine learning to discover interpretable laws from data. This tutorial introduces parsimonious neural networks (PNNs), a combination of neural networks and evolutionary...

2. Parsimonious neural networks

   Tools | 09 Jul 2020 | Contributor(s):: Saaketh Desai, Alejandro Strachan

   Design and train neural networks in conjunction with genetic algorithms to discover equations directly from data

3. Parsimonious Neural Networks Learn Classical Mechanics and Can Teach It

   Papers | 15 May 2020 | Contributor(s):: Saaketh Desai, Alejandro Strachan

   We combine neural networks with genetic algorithms to find parsimonious models that describe the time evolution of a point particle subjected to an external potential. The genetic algorithm is designed to find the simplest, most interpretable network compatible with the training data. The...