101 citations · 344 across the 19 of their papers we have counts for
6 papers · 1 filter
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
Joshua Yao-Yu Lin, Dominic W. Pesce, George N. Wong +3
The Event Horizon Telescope (EHT) recently released the first horizon-scale images of the black hole in M87. Combined with other astronomical data, these images constrain the mass…
Galaxy Morphological Classification with Efficient Vision Transformer
Joshua Yao-Yu Lin, Song-Mao Liao, Hung-Jin Huang +2
Quantifying the morphology of galaxies has been an important task in astrophysics to understand the formation and evolution of galaxies. In recent years, the data size has been dra…
AGNet: Weighing Black Holes with Deep Learning
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap +3
Supermassive black holes (SMBHs) are ubiquitously found at the centers of most massive galaxies. Measuring SMBH mass is important for understanding the origin and evolution of SMBH…
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
Ji Won Park, Ashley Villar, Yin Li +5
Among the most extreme objects in the Universe, active galactic nuclei (AGN) are luminous centers of galaxies where a black hole feeds on surrounding matter. The variability patter…
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
V. Ashley Villar, Miles Cranmer, Edo Berger +4
There is a shortage of multi-wavelength and spectroscopic followup capabilities given the number of transient and variable astrophysical events discovered through wide-field, optic…
deeplenstronomy: A dataset simulation package for strong gravitational lensing
Robert Morgan, Brian Nord, Simon Birrer +2
Automated searches for strong gravitational lensing in optical imaging survey datasets often employ machine learning and deep learning approaches. These techniques require more exa…