Allassonniere, Stephanie

6 publications

ICLR 2024 T-Rep: Representation Learning for Time Series Using Time-Embeddings Archibald Felix Fraikin, Adrien Bennetot, Stephanie Allassonniere
NeurIPS 2022 A Geometric Perspective on Variational Autoencoders Clément Chadebec, Stephanie Allassonniere
NeurIPS 2022 Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case Clément Chadebec, Louis Vincent, Stephanie Allassonniere
JMLR 2017 A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman
NeurIPS 2017 Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data Stéphanie Allassonniere, Juliette Chevallier, Stephane Oudard
NeurIPS 2015 Learning Spatiotemporal Trajectories from Manifold-Valued Longitudinal Data Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman