Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant von Park, Ji Won, Wagner-Carena, Sebastian, Birrer, Simon, Marshall, Philip J., Lin, Joshua Yao-Yu, Roodman, Aaron

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A Deep-learning Approach for Live Anomaly Detection of Extragalactic Transients von Villar, V. Ashley, Cranmer, Miles, Berger, Edo, Contardo, Gabriella, Ho, Shirley, Hosseinzadeh, Griffin, Lin, Joshua Yao-Yu

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Gravitational lensing of the cosmic neutrino background von Lin, Joshua Yao-Yu, Holder, Gilbert

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Deblending and classifying astronomical sources with Mask R-CNN deep learning von Burke, Colin J, Aleo, Patrick D, Chen, Yu-Ching, Liu, Xin, Peterson, John R, Sembroski, Glenn H, Lin, Joshua Yao-Yu

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AGNet: weighing black holes with deep learning von Lin, Joshua Yao-Yu, Pandya, Sneh, Pratap, Devanshi, Liu, Xin, Carrasco Kind, Matias, Kindratenko, Volodymyr

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Strong Gravitational Lensing Parameter Estimation with Vision Transformer von Huang, Kuan-Wei, Chen, Geoff Chih-Fan, Chang, Po-Wen, Lin, Sheng-Chieh, Hsu, ChiaJung, Thengane, Vishal, Lin, Joshua Yao-Yu

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Gravitational Lensing of the Cosmic Neutrino Background von Joshua Yao-Yu Lin, Holder, Gilbert

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AGNet: weighing black holes with deep learning von Lin, Joshua Yao-Yu, Pandya, Sneh, Pratap, Devanshi, Liu, Xin, Carrasco Kind, Matias, Kindratenko, Volodymyr

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AGNet: Weighing Black Holes with Deep Learning von Joshua Yao-Yu Lin, Pandya, Sneh, Pratap, Devanshi, Liu, Xin, Matias Carrasco Kind, Kindratenko, Volodymyr

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deeplenstronomy: A dataset simulation package for strong gravitational lensing von Morgan, Robert, Nord, Brian, Birrer, Simon, Joshua Yao-Yu Lin, Poh, Jason

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Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant von Park, Ji Won, Wagner-Carena, Sebastian, Birrer, Simon, Marshall, Philip J, Joshua Yao-Yu Lin, Roodman, Aaron, the LSST Dark Energy Science Collaboration

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A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients von Villar, V Ashley, Cranmer, Miles, Berger, Edo, Contardo, Gabriella, Ho, Shirley, Griffin Hosseinzadeh, Joshua Yao-Yu Lin

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Deblending and Classifying Astronomical Sources with Mask R-CNN Deep Learning von Burke, Colin J, Aleo, Patrick D, Yu-Ching, Chen, Liu, Xin, Peterson, John R, Sembroski, Glenn H, Joshua Yao-Yu Lin

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LenSiam: Self-Supervised Learning on Strong Gravitational Lens Images von Chang, Po-Wen, Huang, Kuan-Wei, Fagin, Joshua, Chan, James Hung-Hsu, Lin, Joshua Yao-Yu

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Learning Principle of Least Action with Reinforcement Learning von Jin, Zehao, Lin, Joshua Yao-Yu, Li, Siao-Fong

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SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers von Maser, Michael, Park, Ji Won, Lin, Joshua Yao-Yu, Lee, Jae Hyeon, Frey, Nathan C, Watkins, Andrew

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Strong Gravitational Lensing Parameter Estimation with Vision Transformer von Huang, Kuan-Wei, Chen, Geoff Chih-Fan, Chang, Po-Wen, Lin, Sheng-Chieh, Hsu, Chia-Jung, Thengane, Vishal, Lin, Joshua Yao-Yu

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AGNet: Weighing Black Holes with Machine Learning von Lin, Joshua Yao-Yu, Pandya, Sneh, Pratap, Devanshi, Liu, Xin, Kind, Matias Carrasco

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VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks von Lin, Joshua Yao-Yu, Pesce, Dominic W, Wong, George N, Arasanipalai, Ajay Uppili, Prather, Ben S, Gammie, Charles F

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Galaxy Morphological Classification with Efficient Vision Transformer von Lin, Joshua Yao-Yu, Liao, Song-Mao, Huang, Hung-Jin, Kuo, Wei-Ting, Ou, Olivia Hsuan-Min

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