Talks

Dictionary Learning of Dynamical Systems with Optimal Transport

New Trends in Statistical Learning 2026, Porquerolles

Dictionary Learning of Dynamical Systems with Optimal Transport

Machine Learning and Dynamical System Seminar, Online

Shape-based embeddings of time series

L2S Seminar, CentralSupélec

Comparing dynamical systems with Optimal Transport

CSD seminar, ENS Ulm

Comparing dynamical systems with Optimal Transport

SGM seminar, Ecole Polytechnique

Shape and operator embeddings of sequential data for machine learning

MALT seminar, Inria Rennes

Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems

MIND seminar, Inria Saclay

Invariances and shape embedding for time series machine learning

EDF R&D, Paris, France

Detection and statistical analysis of temporal pattern

R&D Cognition Day, Paris, France

Interactive discovery of temporal motifs, a web application

ECML PKDD 2024

Shape analysis & machine learning for time series

Duke University

Persistence-based Motifs Discovery in Time Series

Centre Borelli — MLDMA seminar

Linear-trend normalization for multivariate subsequence similarity search

ICDE 2024

Interpretable classification of ventilation behaviors based on machine learning

Integrative Neuroscience and Cognition Center (INCC)

Une méthode de regroupement des comportements respiratoires basée sur des distances DTW entre séries temporelles & Comment les nouveaux outils permettent de redécouvrir des données ?

Centre Borelli — Séminaire M&Ms

Unsupervised study of plethysmography signals through DTW clustering

EMBC 2022