Juan Maroñas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

Publications

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)