Joshua Yao-Yu Lin

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers.
CoRR
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins
2022 — conf
Strong Gravitational Lensing Parameter Estimation with Vision Transformer.
ECCV Workshops (1)
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin
2022 J jnl
Strong Gravitational Lensing Parameter Estimation with Vision Transformer.
CoRR
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin
2021 J jnl
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients.
CoRR
V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin
2021 J jnl
AGNet: Weighing Black Holes with Deep Learning.
CoRR
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko
2021 J jnl
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes.
CoRR
Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman
2021 — conf
Learning the Principle of Least Action with Reinforcement Learning.
AAAI Spring Symposium: MLPS
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li
2021 J jnl
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks.
CoRR
Joshua Yao-Yu Lin, Dominic W. Pesce, George N. Wong, Ajay Uppili Arasanipalai, Ben S. Prather, Charles F. Gammie
2021 J jnl
deeplenstronomy: A dataset simulation package for strong gravitational lensing.
J. Open Source Softw.
Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh
2020 J jnl
AGNet: Weighing Black Holes with Machine Learning.
CoRR
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind
2020 J jnl
Anomaly Detection for Multivariate Time Series of Exotic Supernovae.
CoRR
V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin
2020 J jnl
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant.
CoRR
Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman
2020 J jnl
Learning Principle of Least Action with Reinforcement Learning.
CoRR
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li