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Juan Maroñas
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 16
Top Topics
Gaussian Process
Top Venues
CoRR
AISTATS
ICASSP
ICML
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Publications
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Zhidi Lin
,
Juan Maroñas
,
Ying Li
,
Feng Yin
,
Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
ICASSP
(2024)
Sérgio A. Balanya
,
Juan Maroñas
,
Daniel Ramos
Adaptive temperature scaling for Robust calibration of deep neural networks.
Neural Comput. Appl.
36 (14) (2024)
Francisco Javier Sáez-Maldonado
,
Juan Maroñas
,
Daniel Hernández-Lobato
Deep Transformed Gaussian Processes.
CoRR
(2023)
Juan Maroñas
,
Daniel Hernández-Lobato
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification.
ICML
(2023)
Zhidi Lin
,
Juan Maroñas
,
Ying Li
,
Feng Yin
,
Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
CoRR
(2023)
Sérgio A. Balanya
,
Juan Maroñas
,
Daniel Ramos
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks.
CoRR
(2022)
Juan Maroñas
,
Daniel Hernández-Lobato
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification.
CoRR
(2022)
Federico Pollastri
,
Mario Parreño
,
Juan Maroñas
,
Federico Bolelli
,
Roberto Paredes
,
Daniel Ramos
,
Costantino Grana
A deep analysis on high-resolution dermoscopic image classification.
IET Comput. Vis.
15 (7) (2021)
Juan Maroñas
,
Oliver Hamelijnck
,
Jeremias Knoblauch
,
Theodoros Damoulas
Transforming Gaussian Processes With Normalizing Flows.
AISTATS
(2021)
Juan Maroñas
,
Roberto Paredes
,
Daniel Ramos
Calibration of deep probabilistic models with decoupled bayesian neural networks.
Neurocomputing
407 (2020)
Federico Pollastri
,
Juan Maroñas
,
Federico Bolelli
,
Giulia Ligabue
,
Roberto Paredes
,
Riccardo Magistroni
,
Costantino Grana
Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification.
ICPR
(2020)
Juan Maroñas
,
Daniel Ramos
,
Roberto Paredes
On Calibration of Mixup Training for Deep Neural Networks.
S+SSPR
(2020)
Juan Maroñas
,
Daniel Ramos
,
Roberto Paredes
Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions.
CoRR
(2020)
Juan Maroñas
,
Oliver Hamelijnck
,
Jeremias Knoblauch
,
Theodoros Damoulas
Transforming Gaussian Processes With Normalizing Flows.
CoRR
(2020)
Juan Maroñas
,
Roberto Paredes
,
Daniel Ramos
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks.
CoRR
(2019)
Daniel Ramos
,
Juan Maroñas
,
Alicia Lozano-Diez
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems.
CoRR
(2019)