Héctor J. Hortúa

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks. CoRR Juan Alejandro Pinto Castro, Héctor J. Hortúa, Jorge Enrique García-Farieta, Roger Anderson Hurtado
2025	J	`jnl`	Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies. CoRR Julieth Katherine Riveros, Paola Saavedra, Héctor J. Hortúa, Jorge Enrique García-Farieta, Iván Olier
2025	J	`jnl`	Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging. Biomed. Signal Process. Control. Daniela L. Ramos, Héctor J. Hortúa
2025	J	`jnl`	Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification. CoRR Juan Manuel Liscano Fierro, Héctor J. Hortúa
2025	J	`jnl`	Forecasting VIX using Bayesian deep learning. Int. J. Data Sci. Anal. Héctor J. Hortúa, Andrés Mora-Valencia
2024	J	`jnl`	Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging. CoRR Daniela L. Ramos, Héctor J. Hortúa
2024	J	`jnl`	Forecasting VIX using Bayesian Deep Learning. CoRR Héctor J. Hortúa, Andrés Mora-Valencia
2023	J	`jnl`	Bayesian deep learning for cosmic volumes with modified gravity. CoRR Jorge Enrique García-Farieta, Héctor J. Hortúa, Francisco-Shu Kitaura
2023	J	`jnl`	Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks. CoRR Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
2020	J	`jnl`	Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	J	`jnl`	Parameters Estimation from the 21 cm signal using Variational Inference. CoRR Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
2020	J	`jnl`	Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2019	J	`jnl`	Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò