Search Results for author:
Found 3 papers, 2 papers with code
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
Image-to-image translation with Deep Learning neural networks, particularly with Generative Adversarial Networks (GANs), is one of the most powerful methods for simulating astronomical images.
A CNN adapted to time series for the classification of Supernovae
The first one is adapted to time series and thus to the treatment of supernovae light-curves.
Deep learning Approach for Classifying, Detecting and Predicting Photometric Redshifts of Quasars in the Sloan Digital Sky Survey Stripe 82
The CNN provides good results since its precision is 0. 988 for a recall of 0. 90, compared to a precision of 0. 985 for the same recall with a random forest classifier.
Instrumentation and Methods for Astrophysics
Cannot find the paper you are looking for? You can
Submit a new open access paper.
