101 citations · 344 across the 19 of their papers we have counts for
19 papers
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin +3
We investigate Siamese networks for learning related embeddings for augmented samples of molecular conformers. We find that a non-contrastive (positive-pair only) auxiliary task ai…
Lattice Study of Spectator Effects in -hadron Decays
Joshua Lin, William Detmold, Stefan Meinel
The Heavy Quark Expansion (HQE) gives an expansion of inclusive decay rates of -hadrons as a simultaneous series in and , in terms of perturbatively defined coeffic…
Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang +4
Quantifying the parameters and corresponding uncertainties of hundreds of strongly lensed quasar systems holds the key to resolving one of the most important scientific questions:…
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…