Juan Maroñas Molano

Orcid: 0000-0002-2939-7676

According to our database1, Juan Maroñas Molano authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adaptive temperature scaling for Robust calibration of deep neural networks.
Neural Comput. Appl., May, 2024

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Deep Transformed Gaussian Processes.
CoRR, 2023

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification.
Proceedings of the International Conference on Machine Learning, 2023

2021
A deep analysis on high-resolution dermoscopic image classification.
IET Comput. Vis., 2021

Transforming Gaussian Processes With Normalizing Flows.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Calibration of deep probabilistic models with decoupled bayesian neural networks.
Neurocomputing, 2020

Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions.
CoRR, 2020

On Calibration of Mixup Training for Deep Neural Networks.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems.
CoRR, 2019

2018
Generative Models for Deep Learning with Very Scarce Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016
Adversarial Ladder Networks.
CoRR, 2016


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