martius-lab/EQL

Equation Learner, a neural network approach to symbolic regression

EQL

Equation Learner, a neural network approach to symbolic regression

We present an approach to identify concise equations from data using a shallow neural network approach. In contrast to ordinary black-box regression, this approach allows understanding functional relations and generalizing them from observed data to unseen parts of the parameter space.

• Paper Subham S. Sahoo, Christoph H. Lampert, Georg Martius 2018

• Autonomous Learning Group at Max Planck Institue for Intelligent Systems, Tübingen, Germany: Website: al.is.mpg.de

Theano implementation:

• See the subdirectory EQL-DIV-ICML for the Theano code implementing the EQL-Division model.

Tensorflow implementation:

• go to EQL_Tensorflow repository