Ernesto Curbelo

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets.
CoRR
Luca Martino, M. M. Garcia, P. S. Paradas, Ernesto Curbelo
2026 J jnl
An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets.
Expert Syst. Appl.
Luca Martino, M. M. Garcia, P. S. Paradas, Ernesto Curbelo
2025 J jnl
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals.
CoRR
Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025 J jnl
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals.
J. Frankl. Inst.
Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez
2025 J jnl
Corrigendum to "pyLAIS: A Python package for Layered Adaptive Importance Sampling" [SoftwareX 29 (2025), 101976].
SoftwareX
Ernesto Curbelo, Luca Martino, David Delgado-Gómez
2025 — conf
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data.
EUSIPCO
Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marqués
2025 J jnl
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data.
CoRR
Samuel Rey, Ernesto Curbelo, Luca Martino, Fernando Llorente, Antonio G. Marques
2025 J jnl
Neural lasso: a unifying approach of lasso and neural networks.
Int. J. Data Sci. Anal.
Ernesto Curbelo, David Delgado-Gómez, Danae Carreras
2025 J jnl
pyLAIS: A Python package for Layered Adaptive Importance Sampling.
SoftwareX
Ernesto Curbelo, Luca Martino, David Delgado-Gómez
2023 J jnl
Neural lasso: a unifying approach of lasso and neural networks.
CoRR
David Delgado, Ernesto Curbelo, Danae Carreras-García
2022 — conf
Safe importance sampling based on partial posteriors and neural variational approximations.
EUSIPCO
Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
2021 J jnl
Automatic tempered posterior distributions for Bayesian inversion problems.
CoRR
Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez
2021 J jnl
MCMC-driven importance samplers.
CoRR
Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado