340 citations · 1.4k across the 23 of their papers we have counts for
5 papers · 1 filter
First Impressions: Early-Time Classification of Supernovae using Host Galaxy Information and Shallow Learning
Alexander Gagliano, Gabriella Contardo, Daniel Foreman-Mackey +2
Substantial effort has been devoted to the characterization of transient phenomena from photometric information. Automated approaches to this problem have taken advantage of comple…
The emptiness inside: Finding gaps, valleys, and lacunae with geometric data analysis
Gabriella Contardo, David W. Hogg, Jason A. S. Hunt +2
Discoveries of gaps in data have been important in astrophysics. For example, there are kinematic gaps opened by resonances in dynamical systems, or exoplanets of a certain radius…
Anomaly Detection for Multivariate Time Series of Exotic Supernovae
V. Ashley Villar, Miles Cranmer, Gabriella Contardo +2
Supernovae mark the explosive deaths of stars and enrich the cosmos with heavy elements. Future telescopes will discover thousands of new supernovae nightly, creating a need to fla…
Dalek -- a deep-learning emulator for TARDIS
Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner +3
Supernova spectral time series contain a wealth of information about the progenitor and explosion process of these energetic events. The modeling of these data requires the explora…
Gravitational wave population inference with deep flow-based generative network
Kaze W. K. Wong, Gabriella Contardo, Shirley Ho
We combine hierarchical Bayesian modeling with a flow-based deep generative network, in order to demonstrate that one can efficiently constraint numerical gravitational wave (GW) p…