9 citations · 19 across the 4 of their papers we have counts for
5 papers
Zero-Shot Visualization: Exploring Text Corpora with User-Prompted Axes
Arnau Bueno Tricas, Jose A. Rodríguez-Serrano
We study the application of large language models (LLMs) to the visual exploration of textual corpora. We introduce zero-shot visualization (ZSV), a task in which users specify con…
Deep Non-Crossing Quantiles through the Partial Derivative
Axel Brando, Joan Gimeno, Jose A. Rodríguez-Serrano +1
Quantile Regression (QR) provides a way to approximate a single conditional quantile. To have a more informative description of the conditional distribution, QR can be merged with…
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando, Jose A. Rodríguez-Serrano, Jordi Vitrià +1
In regression tasks, aleatoric uncertainty is commonly addressed by considering a parametric distribution of the output variable, which is based on strong assumptions such as symme…
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian +2
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples. However, in regression tasks, the straight…
Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams
Adrien Gaidon, Gloria Zen, Jose A. Rodriguez-Serrano
Learning object detectors requires massive amounts of labeled training samples from the specific data source of interest. This is impractical when dealing with many different sourc…