Adversarial Ladder Networks. - Juan Maroñas Molano; Alberto Albiol Colomer; Roberto Paredes Palacios (CoRR, 2016)

Generative Models for Deep Learning with Very Scarce Data. - Juan Maroñas Molano; Roberto Paredes; Daniel Ramos 001 (CIARP, 2018)

Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems. - Daniel Ramos 001; Juan Maroñas; Alicia Lozano-Diez (CoRR, 2019)

Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification. - Federico Pollastri; Juan Maroñas; Federico Bolelli; Giulia Ligabue; Roberto Paredes; Riccardo Magistroni; Costantino Grana (ICPR, 2020)

On Calibration of Mixup Training for Deep Neural Networks. - Juan Maroñas; Daniel Ramos 001; Roberto Paredes (S+SSPR, 2020)

Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions. - Juan Maroñas; Daniel Ramos 001; Roberto Paredes (CoRR, 2020)

Calibration of deep probabilistic models with decoupled bayesian neural networks. - Juan Maroñas; Roberto Paredes; Daniel Ramos 001 (Neurocomputing, 2020)

Transforming Gaussian Processes With Normalizing Flows. - Juan Maroñas; Oliver Hamelijnck; Jeremias Knoblauch; Theodoros Damoulas (AISTATS, 2021)

A deep analysis on high-resolution dermoscopic image classification. - Federico Pollastri; Mario Parreño; Juan Maroñas; Federico Bolelli; Roberto Paredes; Daniel Ramos 001; Costantino Grana (IET Comput. Vis., 2021)

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification. - Juan Maroñas; Daniel Hernández-Lobato (ICML, 2023)

Deep Transformed Gaussian Processes. - Francisco Javier Sáez-Maldonado; Juan Maroñas; Daniel Hernández-Lobato (CoRR, 2023)

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. - Zhidi Lin; Juan Maroñas; Ying Li 047; Feng Yin; Sergios Theodoridis (ICASSP, 2024)

Adaptive temperature scaling for Robust calibration of deep neural networks. - Sérgio A. Balanya; Juan Maroñas; Daniel Ramos 001 (Neural Comput. Appl., 2024)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. - Zhidi Lin; Ying Li 047; Feng Yin; Juan Maroñas; Alexandre H. Thiéry (CoRR, 2025)

The Jacobian and Hessian of the Kullback-Leibler Divergence between Multivariate Gaussian Distributions (Technical Report). - Juan Maroñas (CoRR, 2025)