Stéphanie ALLASSONNIERE
7 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
NIPS (4)
ICLR (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
riemannian geometry
(3)
generative model
(2)
variational autoencoder
(2)
bayesian mixed-effects model
(2)
model comparison
(1)
expectation-maximization algorithm
(1)
latent space
(1)
longitudinal datum
(1)
manifold-valued datum
(1)
spatiotemporal transformation
(1)
neuropsychological assessment
(1)
spatiotemporal trajectory
(1)
piecewise geodesic
(1)
expectation maximization
(1)
mixed effect model
(1)
image reconstruction
(1)
stochastic approximation
(1)
riemannian manifold
(1)
Papers
Untangling Vascular Trees for Surgery and Interventional Radiology
MICCAI 2025
T-Rep: Representation Learning for Time Series using Time-Embeddings
ICLR 2024
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
NIPS 2022
A Geometric Perspective on Variational Autoencoders
NIPS 2022
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations
JMLR 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
NIPS 2017
Learning spatiotemporal trajectories from manifold-valued longitudinal data
NIPS 2015