Stéphanie Allassonnière

Affiliations:
  • Université de Paris, France


According to our database1, Stéphanie Allassonnière authored at least 43 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

T-Rep: Representation Learning for Time Series using Time-Embeddings.
CoRR, 2023

Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis.
CoRR, 2023

Variational Inference for Longitudinal Data Using Normalizing Flows.
CoRR, 2023

2022
Robust Reinforcement Learning with Distributional Risk-averse formulation.
CoRR, 2022

Spatio-temporal mixture process estimation to detect dynamical changes in population.
Artif. Intell. Medicine, 2022

Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM.
Algorithms, 2022

Special Issue: Stochastic Algorithms and Their Applications.
Algorithms, 2022

Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Geometric Perspective on Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2021
Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors.
SN Comput. Sci., 2021

A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data.
SIAM J. Imaging Sci., 2021

Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold.
Entropy, 2021

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling.
Comput. Stat. Data Anal., 2021

Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE.
CoRR, 2021

Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Data Augmentation with Variational Autoencoders and Manifold Sampling.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories.
Int. J. Comput. Vis., 2020

Geometry-Aware Hamiltonian Variational Auto-Encoder.
CoRR, 2020

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Learning from Both Experts and Data.
Entropy, 2019

Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects.
CoRR, 2019

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task.
CoRR, 2018

2017
Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent.
SIAM J. Imaging Sci., 2017

A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations.
J. Mach. Learn. Res., 2017

Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space.
Entropy, 2017

Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space.
Proceedings of the Information Processing in Medical Imaging, 2017

2015
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model.
SIAM J. Imaging Sci., 2015

Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation.
Comput. Stat. Data Anal., 2015

Learning spatiotemporal trajectories from manifold-valued longitudinal data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.
Proceedings of the Information Processing in Medical Imaging, 2015

2013
Aircraft classification with a low resolution infrared sensor.
Mach. Vis. Appl., 2013

Sparse Adaptive Parameterization of Variability in Image Ensembles.
Int. J. Comput. Vis., 2013

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas.
Comput. Vis. Image Underst., 2013

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data.
Comput. Math. Methods Medicine, 2013

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2006
Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005


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