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Anais Möller | Supernova photometric classification in SNLS with machine learning
Machine Learning Based Morphological Classification of Type Ia Supernova Host Galaxies
Patrick Aleo - The Young Supernova Experiment DR1 and Supernovae Photometric Classification
Boosting for Photometric Supernova Typing
Considerations for optim. photometric classification of SNe from the Rubin Observatory (C. S. Alves)
High Energy Seminar 10/07/2020: Anais Möller and Razieh Emami Meibody
Fully automated supernova classifications with ZTF SNIascore deep learning system (Full)
Kickstarter Colloquium Dec 12, 2022: Supernova target selection and measuring photo-z's
Machine Learning for Cosmic Explosions: Algorithms to Applications - Edo Berger - 05/25/2022
Characterizing behavior of type II supernova SN2013he using photometric and spectroscopic technique
Anais Möller (Swinburne): Illuminating the Dark Universe with transients in the Rubin era
Fast Transient Studies from Massive Survey Streams - Alex Gagliano - 03/13/2022