244 citations
- University of ChileCL17 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR6 papers
- Universidade Federal de AlagoasBR5 papers
- Université Libre de BruxellesBE5 papers
- University of California San DiegoUS5 papers
- University of FloridaUS5 papers
- Harvard UniversityUS4 papers
- Pontificia Universidad Católica de ValparaísoCL4 papers
- Advanced Mining Technology CenterCL3 papers
- Center for Astrophysics Harvard & SmithsonianUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Chemnitz University of TechnologyDE3 papers
50 papers
Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors
Gonzalo Olguín, Javier Ruiz-del-Solar
This work presents a mapless navigation approach for outdoor applications. It combines the exploratory capacity of conditional variational autoencoders (CVAEs) to generate trajecto…
Generative artificial intelligence in dentistry: Current approaches and future challenges
Fabián Villena, Claudia Véliz, Rosario García-Huidobro +1
Artificial intelligence (AI) has become a commodity for people because of the advent of generative AI (GenAI) models that bridge the usability gap of AI by providing a natural lang…
The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy
R. K. Saito, M. Hempel, J. Alonso-García +143
The ESO public survey VISTA Variables in the Vía Láctea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from . Upon its conclusion, the c…
Analysis of practical fractional vortex beams at far field
Eduardo Peters, Gustavo Funes, Lluís Martínez-León +1
The subject of calculating the topological charge (TC) or vortex strength of optical vortices has generated divided opinions among scientists. This is due to the fact that proper a…
OWAdapt: An adaptive loss function for deep learning using OWA operators
Sebastián Maldonado, Carla Vairetti, Katherine Jara +2
In this paper, we propose a fuzzy adaptive loss function for enhancing deep learning performance in classification tasks. Specifically, we redefine the cross-entropy loss to effect…
One-step learning algorithm selection for classification via convolutional neural networks
Sebastian Maldonado, Carla Vairetti, Ignacio Figueroa
As with any task, the process of building machine learning models can benefit from prior experience. Meta-learning for classifier selection leverages knowledge about the characteri…