31 citations · 71 across the 12 of their papers we have counts for
5 papers · 1 filter
Multi-Scale Contrastive Attention for Light-Curve Representation Learning
Torsha Majumder, Konstantin Malanchev, Emille E. O. Ishida
Current and next-generation time-domain surveys demand automated techniques capable of analyzing millions of light curves, observed in multiple filters, without relying on exhausti…
ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST
Ved G. Shah, Alex Gagliano, Konstantin Malanchev +3
We present ORACLE, the first hierarchical deep-learning model for real-time, context-aware classification of transient and variable astrophysical phenomena. ORACLE is a recurrent n…
Automatic detection of plateau phases in light curves of variable stars
Anastasia Lavrukhina, Konstantin Malanchev, Matwey V. Kornilov
Modern astronomical surveys produce millions of light curves of variable sources. These massive data sets challenge the community to create automatic light-curve processing methods…
The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object
Konstantin Malanchev, Matwey V. Kornilov, Maria V. Pruzhinskaya +9
We describe the SNAD Viewer, a web portal for astronomers which presents a centralized view of individual objects from the Zwicky Transient Facility's (ZTF) data releases, includin…
Rubin Observatory LSST Transients and Variable Stars Roadmap
Kelly M. Hambleton, Federica B. Bianco, Rachel Street +79
The Vera C. Rubin Legacy Survey of Space and Time holds the potential to revolutionize time domain astrophysics, reaching completely unexplored areas of the Universe and mapping va…