Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes. - Stéphanie Allassonnière; Alain Trouvé; Laurent Younes (EMMCVPR, 2005)

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models. - Stéphanie Allassonnière; Estelle Kuhn; Alain Trouvé; Yali Amit (ICASSP (5), 2006)

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses. - Hao Xu; Bertrand Thirion; Stéphanie Allassonnière (MICCAI (3), 2013)

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. - Islem Rekik; Stéphanie Allassonnière; Stanley Durrleman; Trevor Carpenter; Joanna M. Wardlaw (Comput. Math. Methods Medicine, 2013)

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. - Islem Rekik; Stéphanie Allassonnière; Olivier Clatz; Ezequiel Geremia; Erin Stretton; Hervé Delingette; Nicholas Ayache (Comput. Vis. Image Underst., 2013)

Sparse Adaptive Parameterization of Variability in Image Ensembles. - Stanley Durrleman; Stéphanie Allassonnière; Sarang C. Joshi (Int. J. Comput. Vis., 2013)

Aircraft classification with a low resolution infrared sensor. - Sidonie Lefebvre; Stéphanie Allassonnière; Jérémie Jakubowicz; Thomas Lasne; Eric Moulines (Mach. Vis. Appl., 2013)

A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. - Jean-Baptiste Schiratti; Stéphanie Allassonnière; Alexandre Routier; Olivier Colliot; Stanley Durrleman (IPMI, 2015)

Learning spatiotemporal trajectories from manifold-valued longitudinal data. - Jean-Baptiste Schiratti; Stéphanie Allassonnière; Olivier Colliot; Stanley Durrleman (NIPS, 2015)

Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation. - Stéphanie Allassonnière; Estelle Kuhn (Comput. Stat. Data Anal., 2015)

Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. - Stéphanie Allassonnière; Stanley Durrleman; Estelle Kuhn (SIAM J. Imaging Sci., 2015)

Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space. - Loïc Devilliers; Xavier Pennec; Stéphanie Allassonnière (IPMI, 2017)

Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. - Igor Koval; Jean-Baptiste Schiratti; Alexandre Routier; Michael Bacci; Olivier Colliot; Stéphanie Allassonnière; Stanley Durrleman (MICCAI (1), 2017)

Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data. - Stéphanie Allassonnière; Juliette Chevallier; Stephane Oudard (NIPS, 2017)

Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space. - Loïc Devilliers; Stéphanie Allassonnière; Alain Trouvé; Xavier Pennec (Entropy, 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 (J. Mach. Learn. Res., 2017)

Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent. - Loïc Devilliers; Stéphanie Allassonnière; Alain Trouvé; Xavier Pennec (SIAM J. Imaging Sci., 2017)

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. - Rémi Besson; Erwan Le Pennec; Stéphanie Allassonnière; Julien Stirnemann; Emmanuel Spaggiari; Antoine Neuraz (CoRR, 2018)

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. - Vianney Debavelaere; Alexandre Bône; Stanley Durrleman; Stéphanie Allassonnière (MICCAI (4), 2019)

Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. - Igor Koval; Stéphanie Allassonnière; Stanley Durrleman (CoRR, 2019)

Learning from Both Experts and Data. - Rémi Besson; Erwan Le Pennec; Stéphanie Allassonnière (Entropy, 2019)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. - Rémi Besson; Erwan Le Pennec; Emmanuel Spaggiari; Antoine Neuraz; Julien Stirnemann; Stéphanie Allassonnière (ICAART (2), 2020)

Geometry-Aware Hamiltonian Variational Auto-Encoder. - Clément Chadebec; Clément Mantoux; Stéphanie Allassonnière (CoRR, 2020)

Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories. - Vianney Debavelaere; Stanley Durrleman; Stéphanie Allassonnière (Int. J. Comput. Vis., 2020)

Data Augmentation with Variational Autoencoders and Manifold Sampling. - Clément Chadebec; Stéphanie Allassonnière (DGM4MICCAI/DALI@MICCAI, 2021)

Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis. - Fleur Gaudfernau; Eléonore Blondiaux; Stéphanie Allassonnière (UNSURE/PIPPI@MICCAI, 2021)

Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE. - Clément Chadebec; Stéphanie Allassonnière (CoRR, 2021)

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling. - Stéphanie Allassonnière; Juliette Chevallier (Comput. Stat. Data Anal., 2021)

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. - Clément Mantoux; Baptiste Couvy-Duchesne; Federica Cacciamani; Stéphane Epelbaum; Stanley Durrleman; Stéphanie Allassonnière (Entropy, 2021)

Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. - Thomas Lartigue; Simona Bottani; Stephanie Baron; Olivier Colliot; Stanley Durrleman; Stéphanie Allassonnière (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data. - Juliette Chevallier; Vianney Debavelaere; Stéphanie Allassonnière (SIAM J. Imaging Sci., 2021)

Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors. - Thomas Lartigue; Stanley Durrleman; Stéphanie Allassonnière (SN Comput. Sci., 2021)

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. - Clément Chadebec; Evi M. C. Huijben; Josien P. W. Pluim; Stéphanie Allassonnière; Maureen A. J. M. van Eijnatten (DGM4MICCAI@MICCAI, 2022)

A Geometric Perspective on Variational Autoencoders. - Clément Chadebec; Stéphanie Allassonnière (NeurIPS, 2022)

Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. - Clément Chadebec; Louis J. Vincent; Stéphanie Allassonnière (NeurIPS, 2022)

Special Issue: Stochastic Algorithms and Their Applications. - Stéphanie Allassonnière (Algorithms, 2022)

Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. - Thomas Lartigue; Stanley Durrleman; Stéphanie Allassonnière (Algorithms, 2022)

Spatio-temporal mixture process estimation to detect dynamical changes in population. - Solange Pruilh; Anne-Sophie Jannot; Stéphanie Allassonnière (Artif. Intell. Medicine, 2022)

Robust Reinforcement Learning with Distributional Risk-averse formulation. - Pierre Clavier; Stéphanie Allassonnière; Erwan Le Pennec (CoRR, 2022)

Variational Inference for Longitudinal Data Using Normalizing Flows. - Clément Chadebec; Stéphanie Allassonnière (CoRR, 2023)

Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis. - Agathe Senellart; Clément Chadebec; Stéphanie Allassonnière (CoRR, 2023)

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. - Clément Chadebec; Elina Thibeau-Sutre; Ninon Burgos; Stéphanie Allassonnière (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

T-Rep: Representation Learning for Time Series using Time-Embeddings. - Archibald Fraikin; Adrien Bennetot; Stéphanie Allassonnière (ICLR, 2024)

Bridging the inference gap in Mutimodal Variational Autoencoders. - Agathe Senellart; Stéphanie Allassonnière (CoRR, 2025)

Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework. - Fleur Gaudfernau; Eléonore Blondiaux; Stéphanie Allassonnière; Erwan Le Pennec (J. Math. Imaging Vis., 2025)

MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets. - Agathe Senellart; Clément Chadebec; Stéphanie Allassonnière (J. Open Source Softw., 2025)