7 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 7 cited
Gaussian process deconvolution
Felipe Tobar, Arnaud Robert, Jorge F. Silva
Let us consider the deconvolution problem, that is, to recover a latent source from the observations of a convolution process $y = x\star…
cs.LG2021★ 1 cited
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva, Felipe Tobar, Mario Vicuña +1
Information-theoretic measures have been widely adopted in the design of features for learning and decision problems. Inspired by this, we look at the relationship between i) a wea…
cs.CY2021★ 2 cited
Data Science for Engineers: A Teaching Ecosystem
Felipe Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan +4
We describe an ecosystem for teaching data science (DS) to engineers which blends theory, methods, and applications, developed at the Faculty of Physical and Mathematical Sciences,…