Juan Maroñas
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Transforming Gaussian processes with normalizing flows
J Maroñas, O Hamelijnck, J Knoblauch, T Damoulas
International Conference on Artificial Intelligence and Statistics, 1081-1089, 2021
Calibration of deep probabilistic models with decoupled Bayesian neural networks
J Maronas, R Paredes, D Ramos
Neurocomputing 407, 194-205, 2020
Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data
D Ramos, J Maroñas, J Almirall
Chemometrics and Intelligent Laboratory Systems 217, 104399, 2021
Confidence calibration for deep renal biopsy immunofluorescence image classification
F Pollastri, J Maronas, F Bolelli, G Ligabue, R Paredes, R Magistroni, ...
2020 25th International Conference on Pattern Recognition (ICPR), 1298-1305, 2021
Solving partial differential equations with neural networks
JB Pedro, J Maroñas, R Paredes
arXiv preprint arXiv:1912.04737, 2019
A deep analysis on high‐resolution dermoscopic image classification
F Pollastri, M Parreño, J Maroñas, F Bolelli, R Paredes, D Ramos, ...
IET Computer Vision 15 (7), 514-526, 2021
On calibration of mixup training for deep neural networks
J Maroñas, D Ramos, R Paredes
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2021
Adaptive temperature scaling for robust calibration of deep neural networks
SA Balanya, J Maroñas, D Ramos
Neural Computing and Applications, 1-23, 2024
Efficient transformed Gaussian processes for non-stationary dependent multi-class classification
J Maroñas, D Hernández-Lobato
International Conference on Machine Learning, 24045-24081, 2023
Generative models for deep learning with very scarce data
J Maroñas, R Paredes, D Ramos
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019
Towards flexibility and interpretability of Gaussian process state-space model
Z Lin, F Yin, J Maroñas
arXiv preprint arXiv:2301.08843, 2023
Aimagelab-prhlt at isic challenge 2019
F Pollastri, J Maroñas, M Perreno, B Federico, R Paredes, C Grana, ...
AImageLab, Tech. Rep, 2019
Bayesian strategies for likelihood ratio computation in forensic voice comparison with automatic systems
D Ramos, J Maroñas, A Lozano-Diez
arXiv preprint arXiv:1909.08315, 2019
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Z Lin, J Maroñas, Y Li, F Yin, S Theodoridis
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Gaussianization of LA-ICP-MS features to improve calibration in forensic glass comparison
P Ramirez-Hereza, D Ramos, J Maroñas, SA Balanya, J Almirall
Forensic Science International 349, 111735, 2023
Adversarial Learning with Ladder Networks
J Maroñas Molano
Universitat Politècnica de València, 2017
Deep Transformed Gaussian Processes
FJ Sáez-Maldonado, J Maroñas, D Hernández-Lobato
arXiv e-prints, arXiv: 2310.18230, 2023
Modeling uncertainty for reliable probabilistic modeling in deep learning and beyond
J Maroñas Molano
Universitat Politècnica de València, 2022
Adversarial Ladder Networks
JM Molano, AA Colomer, RP Palacios
arXiv preprint arXiv:1611.02320, 2016
Comparación de algoritmos de cálculo de ratios de verosimilitudes para interpretación forense
J Maroñas Molano
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