84 citations · 394 across the 35 of their papers we have counts for
39 papers
Forensic Study of Paintings Through the Comparison of Fabrics
Juan José Murillo-Fuentes, Pablo M. Olmos, Laura Alba-Carcelén
The study of canvas fabrics in works of art is a crucial tool for authentication, attribution and conservation. Traditional methods are based on thread density map matching, which…
Efficient local linearity regularization to overcome catastrophic overfitting
Elias Abad Rocamora, Fanghui Liu, Grigorios G. Chrysos +2
Catastrophic overfitting (CO) in single-step adversarial training (AT) results in abrupt drops in the adversarial test accuracy (even down to 0%). For models trained with multi-ste…
Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering
Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez +1
The best encoding is the one that is interpretable in nature. In this work, we introduce a novel model that incorporates an interpretable bottleneck-termed the Filter Bank (FB)-at…
Variational Mixture of HyperGenerators for Learning Distributions Over Functions
Batuhan Koyuncu, Pablo Sanchez-Martin, Ignacio Peis +2
Recent approaches build on implicit neural representations (INRs) to propose generative models over function spaces. However, they are computationally costly when dealing with infe…
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data
María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos +1
Sleep constitutes a key indicator of human health, performance, and quality of life. Sleep deprivation has long been related to the onset, development, and worsening of several men…
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos +1
Railway axle maintenance is critical to avoid catastrophic failures. Nowadays, condition monitoring techniques are becoming more prominent in the industry to prevent enormous costs…