15 citations · 15 across the 1 of their papers we have counts for
3 papers
cs.LG2019
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà, David Álvarez, Vicenç Gómez +3
Likelihood-based generative models are a promising resource to detect out-of-distribution (OOD) inputs which could compromise the robustness or reliability of a machine learning sy…
cs.SD2019
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN
David Álvarez, Santiago Pascual, Antonio Bonafonte
Text-to-speech (TTS) acoustic models map linguistic features into an acoustic representation out of which an audible waveform is generated. The latest and most natural TTS systems…
cs.CV2017★ 15 cited
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge
David Alvarez, Monica Iglesias
This abstract briefly describes a segmentation algorithm developed for the ISIC 2017 Skin Lesion Detection Competition hosted at [ref]. The objective of the competition is to perfo…