Héctor J. Hortúa

According to our database, Héctor J. Hortúa authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies.

Julieth Katherine Riveros, Paola Saavedra, Héctor J. Hortúa, Jorge Enrique García-Farieta, Iván Olier

CoRR, February, 2025

Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification.

Juan Manuel Liscano Fierro, Héctor J. Hortúa

CoRR, January, 2025

Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging.

Daniela L. Ramos, Héctor J. Hortúa

Biomed. Signal Process. Control., 2025

2024

Forecasting VIX using Bayesian Deep Learning.

Héctor J. Hortúa, Andrés Mora-Valencia

CoRR, 2024

2023

Bayesian deep learning for cosmic volumes with modified gravity.

Jorge Enrique García-Farieta, Héctor J. Hortúa, Francisco-Shu Kitaura

CoRR, 2023

Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks.

Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C

CoRR, 2023

2020

Constraining the Reionization History using Bayesian Normalizing Flows.

Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi

Mach. Learn. Sci. Technol., 2020

Accelerating MCMC algorithms through Bayesian Deep Networks.

Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò

CoRR, 2020

Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences.

Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi

CoRR, 2020

Parameters Estimation from the 21 cm signal using Variational Inference.

Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò

CoRR, 2020

2019

Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks.

Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò

CoRR, 2019