Juan Maroñas - RankMe

19 papers A* 1A 1B 1Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. CoRR Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems. IEEE Trans. Signal Process. Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025	J	`jnl`	The Jacobian and Hessian of the Kullback-Leibler Divergence between Multivariate Gaussian Distributions (Technical Report). CoRR Juan Maroñas
2024	J	`jnl`	Adaptive temperature scaling for Robust calibration of deep neural networks. Neural Comput. Appl. Sérgio A. Balanya, Juan Maroñas, Daniel Ramos
2024	Misc	`conf`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023	J	`jnl`	Deep Transformed Gaussian Processes. CoRR Francisco Javier Sáez-Maldonado, Juan Maroñas, Daniel Hernández-Lobato
2023	A*	`conf`	Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification. ICML Juan Maroñas, Daniel Hernández-Lobato
2023	J	`jnl`	Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2022	J	`jnl`	Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks. CoRR Sérgio A. Balanya, Juan Maroñas, Daniel Ramos
2022	J	`jnl`	Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification. CoRR Juan Maroñas, Daniel Hernández-Lobato
2021	J	`jnl`	A deep analysis on high-resolution dermoscopic image classification. IET Comput. Vis. Federico Pollastri, Mario Parreño, Juan Maroñas, Federico Bolelli, Roberto Paredes, Daniel Ramos, Costantino Grana
2021	A	`conf`	Transforming Gaussian Processes With Normalizing Flows. AISTATS Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2020	J	`jnl`	Calibration of deep probabilistic models with decoupled bayesian neural networks. Neurocomputing Juan Maroñas, Roberto Paredes, Daniel Ramos
2020	B	`conf`	Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification. ICPR Federico Pollastri, Juan Maroñas, Federico Bolelli, Giulia Ligabue, Roberto Paredes, Riccardo Magistroni, Costantino Grana
2020	J	`jnl`	Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions. CoRR Juan Maroñas, Daniel Ramos, Roberto Paredes
2020	—	`conf`	On Calibration of Mixup Training for Deep Neural Networks. S+SSPR Juan Maroñas, Daniel Ramos, Roberto Paredes
2020	J	`jnl`	Transforming Gaussian Processes With Normalizing Flows. CoRR Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2019	J	`jnl`	Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems. CoRR Daniel Ramos, Juan Maroñas, Alicia Lozano-Diez
2019	J	`jnl`	Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks. CoRR Juan Maroñas, Roberto Paredes, Daniel Ramos