InfoCatVAE: Representation Learning with Categorical Variational Autoencoders. - Edouard Pineau; Marc Lelarge (CoRR, 2018)

A Simple Baseline Algorithm for Graph Classification. - Nathan de Lara; Edouard Pineau (CoRR, 2018)

Seq2VAR: Multivariate Time Series Representation with Relational Neural Networks and Linear Autoregressive Model. - Edouard Pineau; Sébastien Razakarivony; Thomas Bonald (AALTD@PKDD/ECML, 2019)

Graph Classification with Recurrent Variational Neural Networks. - Edouard Pineau; Nathan de Lara (CoRR, 2019)

Using Laplacian Spectrum as Graph Feature Representation. - Edouard Pineau (CoRR, 2019)

Unsupervised ageing detection of mechanical systems on a causality graph. - Edouard Pineau; Sébastien Razakarivony; Thomas Bonald (ICMLA, 2020)

Time Series Source Separation with Slow Flows. - Edouard Pineau; Sébastien Razakarivony; Thomas Bonald (CoRR, 2020)

Contributions to representation learning of multivariate time series and graphs. (Contributions à l'apprentissage de représentation de séries temporelles multivariées et de graphes). - Edouard Pineau (2020)

Universal hidden monotonic trend estimation with contrastive learning. - Edouard Pineau; Sébastien Razakarivony; Mauricio Gonzalez; Anthony Schrapffer (CoRR, 2022)