34 citations · 55 across the 12 of their papers we have counts for
3 papers · 1 filter
Solving Partial Differential Equations with Neural Networks
Juan B. Pedro, Juan Maroñas, Roberto Paredes
Many scientific and industrial applications require solving Partial Differential Equations (PDEs) to describe the physical phenomena of interest. Some examples can be found in the…
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
Daniel Ramos, Juan Maroñas, Alicia Lozano-Diez
This paper explores several strategies for Forensic Voice Comparison (FVC), aimed at improving the performance of the LRs when using generative Gaussian score-to-LR models. First,…
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
Juan Maroñas, Roberto Paredes, Daniel Ramos
Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy performance in many tasks. However, recent works have pointed out that the outputs provided by these models are…