Search Results for author:
Found 8 papers, 6 papers with code
Multi-View Symbolic Regression
We demonstrate the effectiveness of MvSR using data generated from known expressions, as well as real-world data from astronomy, chemistry and economy, for which an a priori analytical expression is not available.
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
We further enhance our model by tuning the VAE network via DA using galaxies in the overlapping footprint of DECaLS and BASS+MzLS, enabling the unbiased application of our model to galaxy images in both surveys.
Finding active galactic nuclei through Fink
We present the Active Galactic Nuclei (AGN) classifier as currently implemented within the Fink broker.
Fink: early supernovae Ia classification using active learning
From 01/November/2020 to 31/October/2021 Fink has applied its early supernova Ia module to the ZTF stream and communicated promising SN Ia candidates to the TNS.
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
The Recommendation System for Spectroscopic follow-up (RESSPECT) project aims to enable the construction of optimized training samples for the Rubin Observatory Legacy Survey of Space and Time (LSST), taking into account a realistic description of the astronomical data environment.
Active Anomaly Detection for time-domain discoveries
We present the first evidence that adaptive learning techniques can boost the discovery of unusual objects within astronomical light curve data sets.
Machine Learning and the future of Supernova Cosmology
Machine Learning methods will play a fundamental role in our ability to optimize the science output from the next generation of large scale surveys.
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for observations from the Large Synoptic Survey Telescope (LSST), which will achieve first light in 2019 and commence its 10-year main survey in 2022.
Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
