Stéphanie ALLASSONNIERE
7 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Machine Learning
(6)
Deep Learning
(3)
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(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types
(2)
Mathematics
(2)
Models
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
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Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Keywords
riemannian geometry
(3)
bayesian mixed-effects model
(2)
expectation-maximization algorithm
(2)
generative model
(2)
variational autoencoder
(2)
riemannian manifold
(2)
stochastic approximation
(1)
disease progression
(1)
model comparison
(1)
latent space
(1)
missing data
(1)
mixed-effect model
(1)
longitudinal data
(1)
mixed-effects model
(1)
manifold-valued data
(1)
spatiotemporal transformation
(1)
neuropsychological assessment
(1)
spatiotemporal trajectory
(1)
time embedding
(1)
representation learning
(1)
Papers
Untangling Vascular Trees for Surgery and Interventional Radiology
MICCAI 2025
T-Rep: Representation Learning for Time Series using Time-Embeddings
ICLR 2024
A Geometric Perspective on Variational Autoencoders
NeurIPS 2022
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
NeurIPS 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
NeurIPS 2017
Learning spatiotemporal trajectories from manifold-valued longitudinal data
NeurIPS 2015