9 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
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…