Deep Learning Models
Discover several Deep Learning models we develop to analyse exoplanet observations and accelerate numerical simulations.
DNN models
Learn how Deep Neural Networks and Feed-Forward Neural Networks can be used to analyse results of transiting planet observations, and accelerate planetary system formation models.
CNN models
Image classification based on Convolution Neural Networks can be used to classify planetary systems and find new planets in large scale surveys, discover how!
INN and cINN models
Inversible Neural Networks, and their conditional variation (cINN) learn how to map any posterior distribution to a Gaussian distribution, making sampling very simple. Discover this method applied to the computation of exoplanet internal structure.
Ready to explore the possibilities with our Deep Learning models?
Contact us now to learn more about how we can help you in understanding planetary formation and astronomical data.