Durrleman, Stanley

6 publications

NeurIPS 2021 Learning Riemannian Metric for Disease Progression Modeling Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley Durrleman

ICCVW 2019 Auto-Encoding Meshes of Any Topology with the Current-Splatting and Exponentiation Layers Alexandre Bône, Olivier Colliot, Stanley Durrleman

CVPRW 2018 Geodesic Discriminant Analysis for Manifold-Valued Data Maxime Louis, Benjamin Charlier, Stanley Durrleman

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

CVPRW 2016 How to Build an Average Model When Samples Are Variably Incomplete? Application to Fossil Data Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Jean-Pierre Jessel, Amelie Beaudet, José Braga

NeurIPS 2015 Learning Spatiotemporal Trajectories from Manifold-Valued Longitudinal Data Jean-Baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot, Stanley Durrleman