Joshua Yao-Yu Lin

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Multivariate Time Series

Parameters Estimation

Top Venues

ECCV Workshops (1)

AAAI Spring Symposium: MLPS

J. Open Source Softw.

Publications

Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers. CoRR (2023)
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin
Strong Gravitational Lensing Parameter Estimation with Vision Transformer. ECCV Workshops (1) (2022)
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin
Strong Gravitational Lensing Parameter Estimation with Vision Transformer. CoRR (2022)
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li
Learning the Principle of Least Action with Reinforcement Learning. AAAI Spring Symposium: MLPS (2021)
Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. CoRR (2021)
Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh
deeplenstronomy: A dataset simulation package for strong gravitational lensing. J. Open Source Softw. 6 (58) (2021)
Joshua Yao-Yu Lin, Dominic W. Pesce, George N. Wong, Ajay Uppili Arasanipalai, Ben S. Prather, Charles F. Gammie
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks. CoRR (2021)
V. Ashley Villar, Miles D. Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients. CoRR (2021)
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko
AGNet: Weighing Black Holes with Deep Learning. CoRR (2021)
Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. CoRR (2020)
Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind
AGNet: Weighing Black Holes with Machine Learning. CoRR (2020)
V. Ashley Villar, Miles D. Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin
Anomaly Detection for Multivariate Time Series of Exotic Supernovae. CoRR (2020)
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li
Learning Principle of Least Action with Reinforcement Learning. CoRR (2020)