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Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders
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COOL-LAMPS. VII. Quantifying Strong-lens Scaling Relations with 177 Cluster-scale Strong Gravitational Lenses in DECaLS
Simon D. Mork, Michael D. Gladders, Gourav Khullar, Keren Sharon, Nathalie Chicoine, Aidan P. Cloonan, Håkon Dahle, Diego Garza, Rowen Glusman, Katya Gozman, Gabriela Horwath, Benjamin C. Levine, Olina Liang, Daniel Mahronic, Viraj Manwadkar, Michael N. Martinez, Alexandra Masegian, Owen S. Matthews Acuña, Kaiya Merz, Yue Pan, Jorge A. Sanchez, Isaac Sierra, Daniel J. Kavin Stein, Ezra Sukay, Marcos Tamargo-Arizmendi, et al. The Astrophysical Journal 979(2) 184 (2025) https://doi.org/10.3847/1538-4357/ada24c
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A Catalog of 13CO Clumps from the MWISP in l = 10°–20°
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TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS
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Euclid preparation
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Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks
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C3NN: Cosmological Correlator Convolutional Neural Network an Interpretable Machine-learning Framework for Cosmological Analyses
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Identification of Galaxy–Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
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Simulation-guided galaxy evolution inference: A case study with strong lensing galaxies
The impact of human expert visual inspection on the discovery of strong gravitational lenses
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DenseLens – Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses
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Streamlined lensed quasar identification in multiband images via ensemble networks
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DESI-253.2534+26.8843: A New Einstein Cross Spectroscopically Confirmed with Very Large Telescope/MUSE and Modeled with GIGA-Lens
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Photometric redshift estimation of strongly lensed galaxies
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COSMOS-Web: An Overview of the JWST Cosmic Origins Survey
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Domain Adaptation for Simulation-based Dark Matter Searches with Strong Gravitational Lensing
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DeepZipper. II. Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning
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