
Juliette Chevallier
9
Documents
Affiliations actuelles
- Institut de Mathématiques de Toulouse UMR5219 (IMT)
- Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Identifiants chercheurs
Présentation
Publications
5
4
3
2
Publications
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Minimax density estimation in the adversarial framework under local differential privacy2025
Pré-publication, Document de travail
hal-04522328
v2
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A New Class of Stochastic EM Algorithms. Escaping Local Maxima and Handling Intractable SamplingComputational Statistics and Data Analysis, 2021, 159, pp.107159. ⟨10.1016/j.csda.2020.107159⟩
Article dans une revue
hal-02044722
v4
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A coherent framework for learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued dataSIAM Journal on Imaging Sciences, 2021, 14 (1), pp.349-388. ⟨10.1137/20M1328026⟩
Article dans une revue
hal-01646298
v4
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Hierarchical Bayesian Estimation of COVID-19 Reproduction Number2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2025, Hyderabad (IN), India
Communication dans un congrès
hal-04695138
v3
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Sampling Nonsmooth Log-Concave Densities: A Comparative Study of Primal-Dual Based Proposal Distributions2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2025, Hyderabad (IN), India
Communication dans un congrès
hal-04824190
v2
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Pandemic Intensity Estimation from Stochastic Approximation-based Algorithms2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2023, Herradura, Costa Rica. ⟨10.1109/CAMSAP58249.2023.10403431⟩
Communication dans un congrès
hal-04174245
v2
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Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01646230
v1
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Statistical models and stochastic algorithms for the analysis of longitudinal Riemanian manifold valued data with multiple dynamicStatistics [math.ST]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX059⟩
Thèse
tel-02380752
v1
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Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued dataNeural Information Processing Systems 2017, Dec 2017, Long Beach, CA, United States.
Poster de conférence
hal-01646617
v2
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