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09/01/2023
Bayesian deep learning for cosmic volumes with modified gravity
The new generation of galaxy surveys will provide unprecedented data all...
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01/09/2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Methods based on Deep Learning have recently been applied on astrophysic...
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12/22/2021
Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks
In this paper, we use The Quijote simulations in order to extract the co...
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11/29/2020
Accelerating MCMC algorithms through Bayesian Deep Networks
Markov Chain Monte Carlo (MCMC) algorithms are commonly used for their v...
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08/15/2020
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences
Bayesian Neural Networks (BNNs) often result uncalibrated after training...
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05/14/2020
Constraining the Reionization History using Bayesian Normalizing Flows
The next generation 21 cm surveys open a new window onto the early stage...
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05/04/2020
Parameters Estimation from the 21 cm signal using Variational Inference
Upcoming experiments such as Hydrogen Epoch of Reionization Array (HERA)...
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11/19/2019
