David Álvarez — accepted AI-conference papers

2022

ANN-Based Optimization of Human Gait Data Obtained From a Robot-Mounted 3D Camera: A Multiple Sclerosis Case Study

Diego Guffanti, Alberto Brunete, Miguel Hernando, Ernesto Gambao, David Álvarez

RA-L 2022

Assessment of gait consistency requires testing over a long walking distance. Robot-mounted 3D cameras represent a cost-effective, markerless technology of human gait analysis that can be applied for this purpose. However, the use of robotic platforms for gait analysis is limited by the low accuracy

Cited by 4 Source ↗Scholar ↗

2020

Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models

Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque

ICLR 2020poster

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 system. However, likelihoods derived from such models have been shown to be problematic for detecting certain types of inp…

Cited by 315 Source ↗Scholar ↗