1 code implementation • 23 Apr 2024 • Julien Delaunay, Luis Galárraga, Christine Largouët
Most methods find those explanations by iteratively perturbing the target document until it is classified differently by the black box.
no code implementations • 19 Dec 2023 • Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuente, Alexandre Termier
Among these methods, Kernel SHAP is widely used due to its model-agnostic nature and its well-founded theoretical framework.
no code implementations • 14 Feb 2023 • Luis Galárraga
None of these works has considered the impact of rules with bounded atoms such as nationality(x, England) => speaks(x, English), or the impact of learning from regions of the KG, i. e., local scopes.
no code implementations • 2 Aug 2022 • Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava
The benefit of locality is one of the major premises of LIME, one of the most prominent methods to explain black-box machine learning models.
no code implementations • 15 Sep 2021 • Erwan Bourrand, Luis Galárraga, Esther Galbrun, Elisa Fromont, Alexandre Termier
We are interested in understanding the underlying generation process for long sequences of symbolic events.
no code implementations • 24 Feb 2021 • Luis Galárraga, Olivier Pelgrin, Alexandre Termier
We introduce HiPaR, a novel pattern-aided regression method for tabular data containing both categorical and numerical attributes.
no code implementations • 4 Nov 2019 • Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles
A referring expression (RE) is a description that identifies a set of instances unambiguously.
no code implementations • 3 Nov 2014 • Luis Galárraga, Geremy Heitz
Open information extraction approaches have led to the creation of large knowledge bases from the Web.
Ranked #1 on Noun Phrase Canonicalization on Base Dataset