Classification of astrophysical image time series using convolutional attention
We will present the collaborative work between astrophysicists and computer scientists to explore classification of optical transients. The optical transient time serie, captured with its scene (usualy a galaxy in the background) is used as raw input into a convolutional attention network to performe supervised learning on several class of astrophysical transient objects. Results and comparison with other state-of-the-art methods are presented.
Dominique Fouchez (CPPM)