4 papers
Drop the mask! GAMM-A Taxonomy for Graph Attributes Missing Mechanisms
Richard Serrano, Baptiste Jeudy, Charlotte Laclau +1
Exploring missing data in attributed graphs introduces unique challenges beyond those found in tabular datasets. In this work, we extend the taxonomy for missing data mechanisms to…
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot, Ievgen Redko, Anton Mallasto +6
In the last decade, we have witnessed the introduction of several novel deep neural network (DNN) architectures exhibiting ever-increasing performance across diverse tasks. Explain…
Mixture of segmentation for heterogeneous functional data
Vincent Brault, Ãmilie Devijver, Charlotte Laclau
In this paper we consider functional data with heterogeneity in time and in population. We propose a mixture model with segmentation of time to represent this heterogeneity while k…
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau, Christine Largeron, Manvi Choudhary
Nowadays, the analysis of complex phenomena modeled by graphs plays a crucial role in many real-world application domains where decisions can have a strong societal impact. However…