The Three Hundred project: The gizmo-simba run von Cui, Weiguang, Dave, Romeel, Knebe, Alexander, Rasia, Elena, Gray, Meghan, Pearce, Frazer, Power, Chris, Yepes, Gustavo, Anbajagane, Dhayaa, Ceverino, Daniel, Contreras-Santos, Ana, de Andres, Daniel, De Petris, Marco, Ettori, Stefano, Haggar, Roan, Li, Qingyang, Wang, Yang, Yang, Xiaohu, Borgani, Stefano, Dolag, Klaus, Zu, Ying, Kuchner, Ulrike, Cañas, Rodrigo, Ferragamo, Antonio, Gianfagna, Giulia

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Machine learning methods to estimate observational properties of galaxy clusters in large volume cosmological N -body simulations von de Andres, Daniel, Yepes, Gustavo, Sembolini, Federico, Martínez-Muñoz, Gonzalo, Cui, Weiguang, Robledo, Francisco, Chuang, Chia-Hsun, Rasia, Elena

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Identifying galaxy cluster mergers with deep neural networks using idealized Compton-y and X-ray maps von Arendt, Ashleigh R, Perrott, Yvette C, Contreras-Santos, Ana, de Andres, Daniel, Cui, Weiguang, Rennehan, Douglas

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The three hundred project: mapping the matter distribution in galaxy clusters via deep learning from multiview simulated observations von de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Ferragamo, Antonio, De Luca, Federico, Aversano, Gianmarco, Rennehan, Douglas

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Anisotropic deformations in a class of projectively-invariant metric-affine theories of gravity von Jiménez, Jose Beltrán, de Andrés, Daniel, Delhom, Adrià

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Generating galaxy clusters mass density maps from mock multiview images via deep learning von de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Aversano, Gianmarco, Ferragamo, Antonio, De Luca, Federico, Muñoz, A. Jiménez

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Mass Estimation of Planck Galaxy Clusters using Deep Learning von de Andres, Daniel, Cui, Weiguang, Ruppin, Florian, De Petris, Marco, Yepes, Gustavo, Lahouli, Ichraf, Aversano, Gianmarco, Dupuis, Romain, Jarraya, Mahmoud

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A deep learning approach to infer galaxy cluster masses from Planck Compton-y parameter maps von de Andres, Daniel, Cui, Weiguang, Ruppin, Florian, De Petris, Marco, Yepes, Gustavo, Gianfagna, Giulia, Lahouli, Ichraf, Aversano, Gianmarco, Dupuis, Romain, Jarraya, Mahmoud, Vega-Ferrero, Jesús

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Anisotropic deformations in a class of projectively-invariant metric-affine theories of gravity von Jose Beltrán Jiménez, Daniel de Andrés, Delhom, Adrià

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ANÁLISIS DE LA ESTRATEGIA DE COMUNICACIÓN USADA POR EL AMÉRICA DE CALI DURANTE LA PANDEMIA EN EL 2020 von Daniel Andrés Rueda López

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ANÁLISIS DE LA ESTRATEGIA DE COMUNICACIÓN USADA POR EL AMÉRICA DE CALI DURANTE LA PANDEMIA EN EL 2020 von Daniel Andrés Rueda López

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Identifying Galaxy Cluster Mergers with Deep Neural Networks using Idealized Compton-y and X-ray maps von Arendt, Ashleigh R, Perrott, Yvette C, Contreras-Santos, Ana, de Andres, Daniel, Cui, Weiguang, Rennehan, Douglas

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Deep Learning generated observations of galaxy clusters from dark-matter-only simulations von Caro, Andrés, de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Ferragamo, Antonio, Schiltz, Félicien, Nef, Amélie

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The Three Hundred Project: Mapping The Matter Distribution in Galaxy Clusters Via Deep Learning from Multiview Simulated Observations von de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Ferragamo, Antonio, De Luca, Federico, Aversano, Gianmarco, Rennehan, Douglas

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Generating Galaxy Clusters Mass Density Maps from Mock Multiview Images via Deep Learning von de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Aversano, Gianmarco, Ferragamo, Antonio, De Luca, Federico, A Jiménez Muñoz

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Machine Learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations von de Andres, Daniel, Yepes, Gustavo, Sembolini, Federico, Martínez-Muñoz, Gonzalo, Cui, Weiguang, Robledo, Francisco, Chuang, Chia-Hsun, Rasia, Elena

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Mass Estimation of Planck Galaxy Clusters using Deep Learning von de Andres, Daniel, Cui, Weiguang, Ruppin, Florian, De Petris, Marco, Yepes, Gustavo, Lahouli, Ichraf, Aversano, Gianmarco, Dupuis, Romain, Jarraya, Mahmoud

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A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton$-y$ parameter maps von de Andres, Daniel, Cui, Weiguang, Ruppin, Florian, De Petris, Marco, Yepes, Gustavo, Gianfagna, Giulia, Lahouli, Ichraf, Aversano, Gianmarco, Dupuis, Romain, Jarraya, Mahmoud, Vega-Ferrero, Jesús

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textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run von Cui, Weiguang, Romeel Dave, Knebe, Alexander, Rasia, Elena, Gray, Meghan, Pearce, Frazer, Power, Chris, Yepes, Gustavo, Anbajagane, Dhayaa, Ceverino, Daniel, Contreras-Santos, Ana, de Andres, Daniel, De Petris, Marco, Ettori, Stefano, Roan Haggar, Li, Qingyang, Wang, Yang, Yang, Xiaohu, Borgani, Stefano, Dolag, Klaus, Zu, Ying, Kuchner, Ulrike, Cañas, Rodrigo, Ferragamo, Antonio, Gianfagna, Giulia

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The Three Hundred Project: Mapping The Matter Distribution in Galaxy Clusters Via Deep Learning from Multiview Mock Observations von de Andres, Daniel, Cui, Weiguang, Yepes, Gustavo, De Petris, Marco, Ferragamo, Antonio, De Luca, Federico, Aversano, Gianmarco, Rennehan, Douglas

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