Joshua Yao-Yu Lin

According to our database, Joshua Yao-Yu Lin authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers.

Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins

CoRR, 2023

2022

Strong Gravitational Lensing Parameter Estimation with Vision Transformer.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

deeplenstronomy: A dataset simulation package for strong gravitational lensing.

Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh

J. Open Source Softw., 2021

VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks.

Joshua Yao-Yu Lin, Dominic W. Pesce, George N. Wong, Ajay Uppili Arasanipalai, Ben S. Prather, Charles F. Gammie

CoRR, 2021

AGNet: Weighing Black Holes with Deep Learning.

Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko

CoRR, 2021

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes.

Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman

CoRR, 2021

A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients.

V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin

CoRR, 2021

Learning the Principle of Least Action with Reinforcement Learning.

Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant.

Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman

CoRR, 2020

AGNet: Weighing Black Holes with Machine Learning.

Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind

CoRR, 2020

Anomaly Detection for Multivariate Time Series of Exotic Supernovae.

V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin

CoRR, 2020