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Stéphanie Allassonnière
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- affiliation: Université de Paris, France
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2020 – today
- 2024
- [c16]Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière:
T-Rep: Representation Learning for Time Series using Time-Embeddings. ICLR 2024 - 2023
- [j20]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): 2879-2896 (2023) - [i14]Clément Chadebec, Stéphanie Allassonnière:
Variational Inference for Longitudinal Data Using Normalizing Flows. CoRR abs/2303.14220 (2023) - [i13]Agathe Senellart, Clément Chadebec, Stéphanie Allassonnière:
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis. CoRR abs/2305.11832 (2023) - [i12]Archibald Fraikin, Adrien Bennetot, Stéphanie Allassonnière:
T-Rep: Representation Learning for Time Series using Time-Embeddings. CoRR abs/2310.04486 (2023) - 2022
- [j19]Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière:
Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Algorithms 15(3): 78 (2022) - [j18]Stéphanie Allassonnière:
Special Issue: Stochastic Algorithms and Their Applications. Algorithms 15(9): 323 (2022) - [j17]Solange Pruilh, Anne-Sophie Jannot, Stéphanie Allassonnière:
Spatio-temporal mixture process estimation to detect dynamical changes in population. Artif. Intell. Medicine 126: 102258 (2022) - [c15]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: 55-64 - [c14]Clément Chadebec, Stéphanie Allassonnière:
A Geometric Perspective on Variational Autoencoders. NeurIPS 2022 - [c13]Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière:
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. NeurIPS 2022 - [i11]Pierre Clavier, Stéphanie Allassonnière, Erwan Le Pennec:
Robust Reinforcement Learning with Distributional Risk-averse formulation. CoRR abs/2206.06841 (2022) - [i10]Clément Chadebec, Louis J. Vincent, Stéphanie Allassonnière:
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case. CoRR abs/2206.08309 (2022) - [i9]Clément Chadebec, Stéphanie Allassonnière:
A Geometric Perspective on Variational Autoencoders. CoRR abs/2209.07370 (2022) - 2021
- [j16]Stéphanie Allassonnière, Juliette Chevallier:
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling. Comput. Stat. Data Anal. 159: 107159 (2021) - [j15]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): 490 (2021) - [j14]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): 3196-3213 (2021) - [j13]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): 349-388 (2021) - [j12]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): 466 (2021) - [c12]Clément Chadebec, Stéphanie Allassonnière:
Data Augmentation with Variational Autoencoders and Manifold Sampling. DGM4MICCAI/DALI@MICCAI 2021: 184-192 - [c11]Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonnière:
Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis. UNSURE/PIPPI@MICCAI 2021: 274-283 - [i8]Clément Chadebec, Stéphanie Allassonnière:
Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE. CoRR abs/2103.13751 (2021) - [i7]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 abs/2105.00026 (2021) - 2020
- [j11]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): 2794-2809 (2020) - [c10]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: 475-482 - [i6]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 abs/2003.05169 (2020) - [i5]Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière:
Geometry-Aware Hamiltonian Variational Auto-Encoder. CoRR abs/2010.11518 (2020)
2010 – 2019
- 2019
- [j10]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière:
Learning from Both Experts and Data. Entropy 21(12): 1208 (2019) - [c9]Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière:
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) 2019: 66-74 - [i4]Igor Koval, Stéphanie Allassonnière, Stanley Durrleman:
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. CoRR abs/1904.02921 (2019) - [i3]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière:
Learning from both experts and data. CoRR abs/1910.09043 (2019) - 2018
- [i2]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 abs/1811.10112 (2018) - 2017
- [j9]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): 288 (2017) - [j8]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: 133:1-133:33 (2017) - [j7]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): 1139-1169 (2017) - [c8]Loïc Devilliers, Xavier Pennec, Stéphanie Allassonnière:
Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space. IPMI 2017: 16-27 - [c7]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: 451-459 - [c6]Stéphanie Allassonnière, Juliette Chevallier, Stephane Oudard:
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data. NIPS 2017: 1152-1160 - [i1]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 abs/1709.08491 (2017) - 2015
- [j6]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: 4-19 (2015) - [j5]Stéphanie Allassonnière, Stanley Durrleman, Estelle Kuhn:
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. SIAM J. Imaging Sci. 8(3): 1367-1395 (2015) - [c5]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: 564-575 - [c4]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman:
Learning spatiotemporal trajectories from manifold-valued longitudinal data. NIPS 2015: 2404-2412 - 2013
- [j4]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: 283593:1-283593:13 (2013) - [j3]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): 238-249 (2013) - [j2]Stanley Durrleman, Stéphanie Allassonnière, Sarang C. Joshi:
Sparse Adaptive Parameterization of Variability in Image Ensembles. Int. J. Comput. Vis. 101(1): 161-183 (2013) - [j1]Sidonie Lefebvre, Stéphanie Allassonnière, Jérémie Jakubowicz, Thomas Lasne, Eric Moulines:
Aircraft classification with a low resolution infrared sensor. Mach. Vis. Appl. 24(1): 175-186 (2013) - [c3]Hao Xu, Bertrand Thirion, Stéphanie Allassonnière:
Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses. MICCAI (3) 2013: 592-599
2000 – 2009
- 2006
- [c2]Stéphanie Allassonnière, Estelle Kuhn, Alain Trouvé, Yali Amit:
Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models. ICASSP (5) 2006: 929-932 - 2005
- [c1]Stéphanie Allassonnière, Alain Trouvé, Laurent Younes:
Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes. EMMCVPR 2005: 365-381
Coauthor Index
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