Stéphanie Allassonnière

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 38

Top Topics

Statistical Modeling

Spatiotemporal Patterns

Top Venues

SIAM J. Imaging Sci.

Publications

Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière
T-Rep: Representation Learning for Time Series using Time-Embeddings. ICLR (2024)
Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière
T-Rep: Representation Learning for Time Series using Time-Embeddings. CoRR (2023)
Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis. CoRR (2023)
Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Clément Chadebec, Stéphanie Allassonnière
Variational Inference for Longitudinal Data Using Normalizing Flows. CoRR (2023)
Solange Pruilh, Anne-Sophie Jannot, Stéphanie Allassonnière
Spatio-temporal mixture process estimation to detect dynamical changes in population. Artif. Intell. Medicine 126 (2022)
Clément Chadebec, Stéphanie Allassonnière
A Geometric Perspective on Variational Autoencoders. NeurIPS (2022)
Stéphanie Allassonnière
Special Issue: Stochastic Algorithms and Their Applications. Algorithms 15 (9) (2022)
Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. CoRR (2022)
Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI (2022)
Pierre Clavier, Stéphanie Allassonnière, Erwan Le Pennec
Robust Reinforcement Learning with Distributional Risk-averse formulation. CoRR (2022)
Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière
Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Algorithms 15 (3) (2022)
Clément Chadebec, Stéphanie Allassonnière
A Geometric Perspective on Variational Autoencoders. CoRR (2022)
Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. NeurIPS (2022)
Clément Chadebec, Stéphanie Allassonnière
Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE. CoRR (2021)
Juliette Chevallier, Vianney Debavelaere, Stéphanie Allassonnière
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data. SIAM J. Imaging Sci. 14 (1) (2021)
Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière
Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. Entropy 23 (4) (2021)
Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. CoRR (2021)
Clément Chadebec, Stéphanie Allassonnière
Data Augmentation with Variational Autoencoders and Manifold Sampling. DGM4MICCAI/DALI@MICCAI (2021)
Stéphanie Allassonnière, Juliette Chevallier
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling. Comput. Stat. Data Anal. 159 (2021)
Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière
Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors. SN Comput. Sci. 2 (6) (2021)
Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière
Geometry-Aware Hamiltonian Variational Auto-Encoder. CoRR (2020)
Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière
Gaussian Graphical Model exploration and selection in high dimension low sample size setting. CoRR (2020)
Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories. Int. J. Comput. Vis. 128 (12) (2020)
Rémi Besson, Erwan Le Pennec, Emmanuel Spaggiari, Antoine Neuraz, Julien Stirnemann, Stéphanie Allassonnière
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. ICAART (2) (2020)
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière
Learning from Both Experts and Data. Entropy 21 (12) (2019)
Igor Koval, Stéphanie Allassonnière, Stanley Durrleman
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. CoRR (2019)
Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) (2019)
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière
Learning from both experts and data. CoRR (2019)
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. CoRR (2018)
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. CoRR (2017)
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. MICCAI (1) (2017)
Loïc Devilliers, Stéphanie Allassonnière, Alain Trouvé, Xavier Pennec
Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space. Entropy 19 (6) (2017)
Loïc Devilliers, Xavier Pennec, Stéphanie Allassonnière
Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space. IPMI (2017)
Loïc Devilliers, Stéphanie Allassonnière, Alain Trouvé, Xavier Pennec
Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent. SIAM J. Imaging Sci. 10 (3) (2017)
Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations. J. Mach. Learn. Res. 18 (2017)
Stéphanie Allassonnière, Juliette Chevallier, Stephane Oudard
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data. NIPS (2017)
Stéphanie Allassonnière, Stanley Durrleman, Estelle Kuhn
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. SIAM J. Imaging Sci. 8 (3) (2015)
Jean-Baptiste Schiratti, Stéphanie Allassonnière, Alexandre Routier, Olivier Colliot, Stanley Durrleman
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. IPMI (2015)
Stéphanie Allassonnière, Estelle Kuhn
Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation. Comput. Stat. Data Anal. 91 (2015)
Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman
Learning spatiotemporal trajectories from manifold-valued longitudinal data. NIPS (2015)
Stanley Durrleman, Stéphanie Allassonnière, Sarang C. Joshi
Sparse Adaptive Parameterization of Variability in Image Ensembles. Int. J. Comput. Vis. 101 (1) (2013)
Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw
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 (2013)
Hao Xu, Bertrand Thirion, Stéphanie Allassonnière
Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses. MICCAI (3) (2013)
Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, Nicholas Ayache
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. Comput. Vis. Image Underst. 117 (3) (2013)
Sidonie Lefebvre, Stéphanie Allassonnière, Jérémie Jakubowicz, Thomas Lasne, Eric Moulines
Aircraft classification with a low resolution infrared sensor. Mach. Vis. Appl. 24 (1) (2013)
Stéphanie Allassonnière, Estelle Kuhn, Alain Trouvé, Yali Amit
Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models. ICASSP (5) (2006)
Stéphanie Allassonnière, Alain Trouvé, Laurent Younes
Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes. EMMCVPR (2005)