Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up
Paper • 2405.03293 • Published
Isidro Gómez-Vargas
igomezv
·
AI & ML interests
Deep Learning, Symbolic regression, Genetic Algorithms, Uncertainty quantification, Generative models
Recent Activity
authored a paper about 22 hours ago
Deep Learning and genetic algorithms for cosmological Bayesian inference
speed-up authored a paper about 22 hours ago
Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection authored a paper about 22 hours ago
Variational autoencoder for generating realistic $N$-body simulations for dark matter halosOrganizations
None yet
authored 7
papers about 22 hours ago
Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
Paper • 2606.18464 • Published
Variational autoencoder for generating realistic $N$-body simulations for dark matter halos
Paper • 2507.18054 • Published
Data-driven modeling of rotation curves with artificial neural networks
Paper • 2404.05833 • Published
Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
Paper • 2402.18124 • Published
Neural Networks Optimized by Genetic Algorithms in Cosmology
Paper • 2209.02685 • Published
Neural network reconstructions for the Hubble parameter, growth rate and distance modulus
Paper • 2104.00595 • Published