188 citations · 189 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2022
Finding active galactic nuclei through Fink
Etienne Russeil, Emille E. O. Ishida, Roman Le Montagner +2
We present the Active Galactic Nuclei (AGN) classifier as currently implemented within the Fink broker. Features were built upon summary statistics of available photometric points,…
astro-ph.IM2022★ 1 cited
Bayesian Neural Networks for classification tasks in the Rubin big data era
Anais Möller, Thibault de Boissière
Upcoming surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will detect up to 10 million time-varying sources in the sky every night for ten years…
astro-ph.IM2019★ 188 cited
SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
Anais Möller, Thibault de Boissière
We introduce SuperNNova, an open source supernova photometric classification framework which leverages recent advances in deep neural networks. Our core algorithm is a recurrent ne…