102 citations · 130 across the 4 of their papers we have counts for
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astro-ph.CO2019★ 102 cited
Weak lensing cosmology with convolutional neural networks on noisy data
Dezső Ribli, Bálint Ármin Pataki, José Manuel Zorrilla Matilla +3
Weak gravitational lensing is one of the most promising cosmological probes of the late universe. Several large ongoing (DES, KiDS, HSC) and planned (LSST, EUCLID, WFIRST) astronom…
astro-ph.CO2019★ 19 cited
Galaxy shape measurement with convolutional neural networks
Dezső Ribli, László Dobos, István Csabai
We present our results from training and evaluating a convolutional neural network (CNN) to predict galaxy shapes from wide-field survey images of the first data release of the Dar…