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7 Publications


2025 | Epub ahead of print | Journal Article | IST-REx-ID: 20407 | OA | PlanS
Ennes, H., & Tinarrage, R. (2025). LieDetect: Detection of representation orbits of compact Lie groups from point clouds. Foundations of Computational Mathematics. Springer Nature. https://doi.org/10.1007/s10208-025-09728-4
[Published Version] View | DOI | Download Published Version (ext.) | WoS | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 13129 | OA
Clozeau, N., Josien, M., Otto, F., & Xu, Q. (2024). Bias in the representative volume element method: Periodize the ensemble instead of its realizations. Foundations of Computational Mathematics. Springer Nature. https://doi.org/10.1007/s10208-023-09613-y
[Published Version] View | Files available | DOI | WoS
 

2024 | Epub ahead of print | Journal Article | IST-REx-ID: 14703 | OA
Ishida, S., & Lavenant, H. (2024). Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation. Foundations of Computational Mathematics. Springer Nature. https://doi.org/10.1007/s10208-024-09686-3
[Published Version] View | DOI | Download Published Version (ext.) | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 10211 | OA
Mondelli, M., Thrampoulidis, C., & Venkataramanan, R. (2022). Optimal combination of linear and spectral estimators for generalized linear models. Foundations of Computational Mathematics. Springer. https://doi.org/10.1007/s10208-021-09531-x
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 9649 | OA
Boissonnat, J.-D., & Wintraecken, M. (2022). The topological correctness of PL approximations of isomanifolds. Foundations of Computational Mathematics . Springer Nature. https://doi.org/10.1007/s10208-021-09520-0
[Published Version] View | Files available | DOI | WoS
 

2020 | Published | Journal Article | IST-REx-ID: 6563 | OA
Filakovský, M., & Vokřínek, L. (2020). Are two given maps homotopic? An algorithmic viewpoint. Foundations of Computational Mathematics. Springer Nature. https://doi.org/10.1007/s10208-019-09419-x
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2019 | Published | Journal Article | IST-REx-ID: 6662 | OA
Mondelli, M., & Montanari, A. (2019). Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics. Springer. https://doi.org/10.1007/s10208-018-9395-y
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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