Search Results for author: Chia-Jung Hsu

Found 2 papers, 2 papers with code

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

1 code implementation4 Apr 2023 Duo Xu, Jonathan C. Tan, Chia-Jung Hsu, Ye Zhu

We introduce the state-of-the-art deep learning Denoising Diffusion Probabilistic Model (DDPM) as a method to infer the volume or number density of giant molecular clouds (GMCs) from projected mass surface density maps.


Strong Gravitational Lensing Parameter Estimation with Vision Transformer

1 code implementation9 Oct 2022 Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin

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: the Hubble constant ($H_{0}$) tension.

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