128 citations · 1.3k across the 58 of their papers we have counts for
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Solving the tension in Gravity through Bayesian Machine Learning
Muhsin Aljaf, Emilio Elizalde, Martiros Khurshudyan +2
Bayesian Machine Learning~(BML) and strong lensing time delay~(SLTD) techniques are used in order to tackle the tension in gravity. The power of BML relies on employ…
An approach to cold dark matter deviation and the tension problem by using machine learning
Emilio Elizalde, Janusz Gluza, Martiros Khurshudyan
In this work, two different models, one with cosmological constant , and baryonic and dark matter (with ), and the other with an dark energy (with $ω_{de} \ne…
Constraints on Cosmic Opacity from Bayesian Machine Learning: The hidden side of the tension problem
Emilio Elizalde, Martiros Khurshudyan
Bayesian (Probabilistic) Machine Learning is used to probe the opacity of the Universe. It relies on a generative process where the model is the key object to generate the data inv…
Constraints on interacting dark energy models through cosmic chronometers and Gaussian process
Muhsin Aljaf, Daniele Gregoris, Martiros Khurshudyan
In this paper, after reconstructing the redshift evolution of the Hubble function by adopting Gaussian process techniques, we estimate the best-fit parameters for some flat Friedma…
Model-independent reconstruction of gravity from Gaussian Processes
Yi-Fu Cai, Martiros Khurshudyan, Emmanuel N. Saridakis
We apply Gaussian processes and Hubble function data in cosmology, to reconstruct for the first time the form in a model-independent way. In particular, using …
Implications of the possible 21-cm line excess at cosmic dawn on dynamics of interacting dark energy
Chunlong Li, Xin Ren, Martiros Khurshudyan +1
In this paper we study implications of the possible excess of 21-cm line global signal at the epoch of cosmic dawn on the evolutions of a class of dynamically interacting dark ener…
Swampland criteria for a dark-energy dominated universe, ensuing from Gaussian process and H(z) data analysis
Emilio Elizalde, Martiros Khurshudyan
Implications of the string Swampland criteria for a dark energy dominated universe, obtained by using Gaussian processes and data analysis, are discussed. In particular, the…