Currently browsing: Items authored or edited by Joshua Wilde https://orcid.org/0000-0002-4460-7379

Rojas, Karina; Collett, Thomas E; Ballard, Daniel; Magee, Mark R; Birrer, Simon; Buckley-Geer, Elizabeth; Chan, James H H; Clément, Benjamin; Diego, José M; Gentile, Fabrizio; González, Jimena; Joseph, Rémy; Mastache, Jorge; Schuldt, Stefan; Tortora, Crescenzo; Verdugo, Tomás; Verma, Aprajita; Daylan, Tansu; Millon, Martin; Jackson, Neal; Dye, Simon; Melo, Alejandra; Mahler, Guillaume; Ogando, Ricardo L C; Courbin, Frédéric; Fritz, Alexander; Herle, Aniruddh; Barroso, Javier A Acevedo; Cañameras, Raoul; Cornen, Claude; Dhanasingham, Birendra; Glazebrook, Karl; Martinez, Michael N; Ryczanowski, Dan; Savary, Elodie; Góis-Silva, Filipe; Ureña-López, L Arturo; Wiesner, Matthew P; Wilde, Joshua; Calçada, Gabriel Valim; Cabanac, Rémi; Pan, Yue; Sierra, Isaac; Despali, Giulia; Cavalcante-Gomes, Micaele V.; Macmillan, Christine; Maresca, Jacob; Grudskaia, Aleksandra; O’Donnell, Jackson H.; Paic, Eric; Niemiec, Anna; de la Bella, Lucia F.; Bromley, Jane M.; Williams, Devon M.; More, Anupreeta and Levine, Benjamin C. (2023). The impact of human expert visual inspection on the discovery of strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 523 pp. 4413–4430.

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Wilde, Joshua William (2023). Applications and Interpretability of Machine Learning to Identify Gravitational Lenses. PhD thesis The Open University.

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Wilde, Joshua; Serjeant, Stephen; Bromley, Jane M; Dickinson, Hugh; Koopmans, Léon V E and Metcalf, R Benton (2022). Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations. Monthly Notices of the Royal Astronomical Society, 512(3) pp. 3464–3479.

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Wilde, Joshua (2021). Do Neural Networks Dream of Gravitational Lensing?

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