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Chacón-Lavanderos, J., Gómez-Vargas, I., Menchaca-Mendez, R., & Vázquez, J. A. (2026). Variational autoencoder for generating realistic N-body simulations for dark matter halos. Physical Review D, 113(6), 063520.
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Garcia-Arroyo, G., Gómez-Vargas, I., & Vázquez, J. A. (2026). Data-driven modeling of rotation curves with artificial neural networks. Physics of the Dark Universe, 52, 102240.
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Chaudhary, H., Capozziello, S., Sharma, V. K., Gómez-Vargas, I., & Mustafa, G. (2026). Evidence for evolving dark energy from DESI DR2 BAO and Pantheon+, DES-Dovekie, and Union3. European Physical Journal C, 86, 564.
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Di Valentino, E., et al. (including Gómez-Vargas, I.) (2025). The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics. Physics of the Dark Universe, 101965.
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Tamayo, D., Urquilla, E., & Gómez-Vargas, I. (2025). Equivalence of Dark Energy Models: A Theoretical and Bayesian Perspective. Physics of the Dark Universe, 48, 101901.
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Zhao, Y., Dumusque, X., Cretignier, M., Cameron, A. C., Latham, D. W., López-Morales, M., Mayor, M., Sozzetti, A., Cosentino, R., Gómez-Vargas, I., Pepe, F., & Udry, S. (2024). Improving Earth-like planet detection in radial velocity using deep learning. Astronomy & Astrophysics, 687, A281.
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Gómez-Vargas, I., & Vázquez, J. A. (2024). Deep learning and genetic algorithms for cosmological Bayesian inference speed-up. Physical Review D, 110(8), 083518.
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Mitra, A., Gómez-Vargas, I., & Zarikas, V. (2024). Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory. Physics of the Dark Universe, 46, 101706.
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Vázquez, J. A., Tamayo, D., Garcia-Arroyo, G., Gómez-Vargas, I., Quiros, I., & Sen, A. A. (2024). Coupled Multi Scalar Field Dark Energy. Physical Review D, 109(2), 023511.
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García-Salcedo, R., Gómez-Vargas, I., González, T., Martinez-Badenes, V., & Quiros, I. (2024). Combined Studies Approach to Rule Out Cosmological Models Which Are Based on Nonlinear Electrodynamics. Universe, 10(9), 353.
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Gómez-Vargas, I., Andrade, J. B., & Vázquez, J. A. (2023). Neural Networks Optimized by Genetic Algorithms in Cosmology. Physical Review D, 107(4), 043509.
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Gómez-Vargas, I., Vázquez, J. A., Esquivel, R. M., & García-Salcedo, R. (2023). Neural Network Reconstructions for the Hubble Parameter, Growth Rate and Distance Modulus. European Physical Journal C, 83(4), 304.
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Medel Esquivel, R., Gómez-Vargas, I., Morales Sánchez, A. A., García-Salcedo, R., & Vázquez, J. A. (2023). Cosmological parameter estimation with Genetic Algorithms. Universe, 10(1), 11.
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Chacón, J., Gómez-Vargas, I., Menchaca Mendez, R., & Vázquez, J. A. (2023). Analysis of Dark Matter Halo Structure Formation in N-body Simulations with Machine Learning. Physical Review D, 107(12), 123515.
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Rojas Olvera, J. de Dios, Gómez-Vargas, I., & Vázquez, J. A. (2022). Observational Cosmology with Artificial Neural Networks. Universe, 8(2), 120.