Bibliography

Dark Energy

Cosmological constraints of interacting phantom dark energy models
Amine Bouali, Imanol Albarran, Mariam Bouhmadi-Lopez, Ahmed Errahmani, Taoufik Ouali
-- Q=λHρd. arxiv: 2103.13432
Quintom Cosmology: Theoretical implications and observations
Yi-Fu Cai, Emmanuel N. Saridakis, Mohammad R. Setare, Jun-Qing Xia
-- Models. arxiv: 0909.2776
Two-Field Quintom Models in the w-w' Plane
Zong-Kuan Guo, Yun-Song Piao, Xinmin Zhang, Yuan-Zhong Zhang
-- Dynamical Dark energy Models. arxiv: 0608165
The Cosmological Constant and Dark Energy
P. J. E. Peebles, Bharat Ratra
-- Review. arxiv: 0207347
An updated dark energy view of inflation
Sveva Castello, Stéphane Ilić, Martin Kunz
-- Hubble slow-roll parameters. arxiv: 2104.15091
The observational constraints on the flat ϕCDM models
Olga Avsajanishvili, Yiwen Huang, Lado Samushia, Tina Kahniashvili
-- Dark Energy models, Scalar fields.
arxiv: 1711.11465
Bayesian Evidences for Dark Energy models in light of current obsevational data
Anto. I. Lonappan, Sumit Kumar, Ruchika, Bikash R. Dinda, Anjan A Sen
-- Dark Energy models. arxiv: 1707.00603
Purely kinetic k-essence as unified dark matter
Robert J. Scherrer
-- Scalar Fields. arxiv: 0402316
The Viability of Phantom Dark Energy: A Brief Review
Kevin J. Ludwick
-- Dynamical Dark Energy. arxiv: 1708.06981
Dark energy models from a parametrization of H: A comprehensive analysis and observational constraints
S. K. J. Pacif
-- Cosmography. arxiv: 2005.06972
Cosmological consequences of a scalar field with oscillating equation of state
S. X. Tián
-- Scalar Fields. arxiv: 1912.13208
Hessence: A New View of Quintom Dark Energy
Hao Wei, Rong-Gen Cai, Ding-Fang Zeng
-- Scalar Fields. arxiv: 0501160
Observational constraints on quintessence models of dark energy
Archana Sangwan, Ashutosh Tripathi, H. K. Jassal
-- Scalar Fields. arxiv: 1804.09350
Evidence for Emergent Dark Energy
Xiaolei Li, Arman Shafieloo
-- Cosmological Models. arxiv: 2001.05103
A New Cosmological Model of Quintessence and Dark Matter
Varun Sahni, Limin Wang
-- Cosmological Models. arxiv: 9910097
Phantom Dark Energy Models with Negative Kinetic Term
Jens Kujat, Robert J. Scherrer, A.A. Sen
-- Scalar Fields. arxiv: 0606735
Resolving the Hubble Tension with New Early Dark Energy
Florian Niedermann, Martin S. Sloth
-- Cosmological models. arxiv: 2006.06686
Thawing quintessence with a nearly flat potential
Robert J. Scherrer, A. A. Sen
-- Scalar Fields. arxiv: 0712.3450

Machine Learning

An approach to cold dark matter deviation and the H0 tension problem by using machine learning
Emilio Elizalde, Janusz Gluza, Martiros Khurshudyan
-- Bayesian machine learning analysis. arxiv: 2104.01077
Baryon acoustic oscillations reconstruction using convolutional neural networks
Tian-Xiang Mao, Jie Wang, Baojiu Li, Yan-Chuan Cai, Bridget Falck, Mark Neyrinck, Alex Szalay
-- Large-scale modes. arxiv: 2002.10218
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
-- Accelerates the convergence of the MCMC. arxiv: 1911.08508
Constraining the Reionization History using Bayesian Normalizing Flows
Héctor J. Hortúa, Luigi Malago, Riccardo Volpi
-- 21 cm, Bayesian Neural Networks. arxiv: 2005.07694
Deep learning approach to Hubble parameter
H.Tilavera, Saltia.Aydogdua, E.Kangal
-- Long Short-Term Memory. Computer Physics Communications
Deep Neural Networks as Gaussian Processes
Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein
-- Gaussian process. arxiv: 1711.00165
Machine learning cosmological structure formation
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Michelle Lochner
-- N-body simulations. arxiv: 1802.04271
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
-- Reinforcement learning. arxiv: 1506.02142
Distinguishing standard and modified gravity cosmologies with machine learning
Austin Peel, et. al.
-- Convolutional neural network. arxiv: 1810.11030
An improved cosmological parameter inference scheme motivated by deep learning
Dezső Ribli, Bálint Ármin Pataki, István Csabai
-- Convolutional neural network. arxiv: 1806.05995
Machine learning and the physical sciences
Giuseppe Carleo, et. al
-- Review. arxiv: 1903.10563

Reconstructions

Reconstructing Quintessence
Minsu Park, Marco Raveri, and Bhuvnesh Jain
-- Effective Field Theory. arxiv: 2101.04666
Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test
Zhenyu Zhang, Gan Gu, Xiaoma Wang, Yun-He Li, Cristiano G. Sabiu, Hyunbae Park, Haitao Miao, Xiaolin Luo, Feng Fang, Xiao-Dong Li
-- Uncorrelated bins. arxiv: 1902.09794
Reconstruction of the Dark Energy equation of state from latest data: the impact of theoretical priors
Francesca Gerardi, Matteo Martinelli, Alessandra Silvestri
-- Step functions, Gaussian Process. arxiv: 1902.09423
Gaussian processes reconstruction of dark energy from observational data
Ming-Jian Zhang, Hong Li
-- Parametrization, Gaussian Process. arxiv: 1806.02981
Gaussian Process Cosmography
Arman Shafieloo, Alex G. Kim, Eric V. Linder
-- Cosmic expansion, Gaussian Process. arxiv: 1204.2272
Examining the evidence for dynamical dark energy
Gong-Bo Zhao, Robert G. Crittenden, Levon Pogosian, Xinmin Zhang
-- Reconstruction, Correlated prior. arxiv: 1207.3804
Beyond ΛCDM with Low and High Redshift Data: Implications for Dark Energy
Koushik Dutta, Ruchika, Anirban Roy, Anjan A. Sen, M.M. Sheikh-Jabbari
-- Pade Approximation, Hubble parameter. arxiv: 1808.06623
Reconstructing Functions and Estimating Parameters with Artificial Neural Networks
Guo-Jian Wang, Xiao-Jiao Ma, Si-Yao Li, Jun-Qing Xia
-- Cosmological parameters. arxiv: 1910.03636
Dark Energy with Phantom Crossing and the H0 tension
Eleonora Di Valentino, Ankan Mukherjee, Anjan A. Sen
-- Taylor series rho. arxiv: 2005.12587
Evolution of dark energy reconstructed from the latest observations
Yuting Wang, Levon Pogosian, Gong-Bo Zhao, Alex Zucca
-- Non parametric. arxiv: 1807.03772

Algorithms

Introduction to Random Matrices - Theory and Practice
Giacomo Livan, Marcel Novaes, Pierpaolo Vivo
-- Book. arxiv: 1712.07903
Genetic Algorithms and Supernovae Type Ia Analysis
C. Bogdanos, Savvas Nesseris
-- Model-independent, Dark energy w(z). arxiv: 0903.2805
A model independent null test on the cosmological constant
Savvas Nesseris, Arman Shafieloo
-- Om statistic, Genetic Algorithms. arxiv: 1004.0960
A new perspective on Dark Energy modeling via Genetic Algorithms
Savvas Nesseris, Juan Garcia-Bellido
-- Genetic Algorithms. arxiv: 1205.0364
What can Machine Learning tell us about the background expansion of the Universe?
Rubén Arjona, Savvas Nesseris
-- Genetic Algorithms. arxiv: 1910.01529
Fables of reconstruction: controlling bias in the dark energy equation of state
Robert G. Crittenden, Gong-Bo Zhao, Levon Pogosian, Lado Samushia, Xinmin Zhang
-- PCA, Correlated prior. arxiv: 1112.1693
Reconstruction of the dark sectors' interaction: A model-independent inference and forecast from GW standard sirens
Alexander Bonilla, Suresh Kumar, Rafael C. Nunes, Supriya Pan
-- Gaussian processes, Interacting DE-DM. arxiv: 2102.06149
Model independent inference of the expansion history and implications for the growth of structure
Shahab Joudaki, Manoj Kaplinghat, Ryan Keeley, David Kirkby
-- Gaussian processes. arxiv: 1710.04236
Implications of a transition in the dark energy equation of state for the H0 and σ8 tensions
Ryan E. Keeley, Shahab Joudaki, Manoj Kaplinghat, David Kirkby
-- Gaussian processes. arxiv: 1905.10198
Revisión de los Algoritmos Bioinspirados
Ignacio Riquelme MedinaJuan Manuel Fernández Luna
-- Algoritmos Geneticos. arxiv: 1905.10198

Bayesian

On model selection in cosmology
Martin Kerscher, Jochen Weller
-- Bayesian information. SciPost Phys. Lect. Notes 9 (2019)
Workflow Techniques for the Robust Use of Bayes Factors
Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, Shravan Vasishth
-- Statistics. arxiv: 2103.08744
Application of Bayesian model averaging to measurements of the primordial power spectrum
David Parkinson, Andrew R. Liddle
-- Model Evidences. arxiv: 1009.1394

Software

Cobaya: Code for Bayesian Analysis of hierarchical physical models
Jesus Torrado, Antony Lewis
-- Sampling. arxiv: 2005.05290
iCosmo: an Interactive Cosmology Package
Alexandre Refregier, Adam Amara, Thomas Kitching, Anais Rassat
-- Cosmological Calculations. arxiv: 0810.1285
Bayesian model comparison in cosmology with Population Monte Carlo
Martin Kilbinger, et. al.
-- Model selection. arxiv: 0912.1614
MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics
F. Feroz, M.P. Hobson, M. Bridges
-- Model selection. arxiv: 0809.3437
fgivenx: A Python package for functional posterior plotting
Will Handley
-- Posterior Plotting. arxiv: 1908.01711
COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos
Benedikt Diemer
-- Cosmological Calculations. arxiv: 1712.04512
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
Philip Graff, Farhan Feroz, Michael P. Hobson, Anthony N. Lasenby
-- Cosmological parameters. arxiv: 1309.0790