385 citations · 968 across the 23 of their papers we have counts for
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astro-ph.CO2022★ 4 cited
Emulating cosmological multifields with generative adversarial networks
Sambatra Andrianomena, Francisco Villaescusa-Navarro, Sultan Hassan
We explore the possibility of using deep learning to generate multifield images from state-of-the-art hydrodynamic simulations of the CAMELS project. We use a generative adversaria…
astro-ph.CO2022★ 5 cited
Predictive uncertainty on improved astrophysics recovery from multifield cosmology
Sambatra Andrianomena, Sultan Hassan
We investigate how the constraints on cosmological and astrophysical parameters (, , , ) vary when exploiting information from multiple…
astro-ph.IM2022★ 3 cited
Probabilistic learning for pulsar classification
Sambatra Andrianomena
In this work, we explore the possibility of using probabilistic learning to identify pulsar candidates. We make use of Deep Gaussian Process (DGP) and Deep Kernel Learning (DKL). T…