edouardpineau

A-simple-baseline-algorithm-for-graph-classification

Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018

infoCatVAE

Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"

Variational-Recurrent-Neural-Networks-for-Graph-Classification

Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019

Seq2VAR-multivariate-time-series-representation-learning

Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model" published in AALTD 2019, Lecture Notes in Artificial Intelligence, Springer

Time-Series-ICA-with-SOBI-Jacobi

Repository for an implementation of "Jacobi angles for joint diagonalization" for time series ICA

Time-Series-Source-Separation-with-Slow-Flows

Github page for the paper "Time Series Source Separation with Slow Flows" presented at the INNF+ workshop of ICML 2020

projects_mash

Master's degree project

Using-Laplacian-Spectrum-as-Graph-Feature-Representation

Github page for the preprint paper notes "Using Laplacian Spectrum as Graph Feature Representation"

edouardpineau.github.io

Three-PD-LGD-models-for-a-stress-test-exercise

MEMD-Python-

Python version of the Multivariate Empirical Mode Decomposition algorithm