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ORCIDEstelle M. Massart
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2020 – today
- 2023
[j4]Coralia Cartis
, Estelle M. Massart, Adilet Otemissov:
Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings. Math. Program. 198(1): 997-1058 (2023)- [j3]Coralia Cartis, Estelle M. Massart, Adilet Otemissov:
Global optimization using random embeddings. Math. Program. 200(2): 781-829 (2023) - [c11]Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the Stiefel manifold for deep neural network training. ESANN 2023 - 2022
- [c10]Estelle M. Massart, Vinayak Abrol:
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. AAAI 2022: 7744-7751 - [c9]Estelle M. Massart:
Orthogonal regularizers in deep learning: how to handle rectangular matrices? ICPR 2022: 1294-1299 - [c8]Estelle M. Massart:
Improving weight clipping in Wasserstein GANs. ICPR 2022: 2286-2292 - 2021
- [i5]Coralia Cartis, Estelle M. Massart, Adilet Otemissov:
Global optimization using random embeddings. CoRR abs/2107.12102 (2021) - [i4]Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the orthogonal group for recurrent neural network training. CoRR abs/2108.00051 (2021) - 2020
- [j2]Estelle M. Massart, Pierre-Antoine Absil:
Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices. SIAM J. Matrix Anal. Appl. 41(1): 171-198 (2020) - [i3]Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Tatjana Stykel:
Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches. CoRR abs/2003.04577 (2020)
2010 – 2019
- 2019
- [j1]Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil:
Data Fitting on Manifolds with Composite Bézier-Like Curves and Blended Cubic Splines. J. Math. Imaging Vis. 61(5): 645-671 (2019) - [c7]Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil:
Online balanced truncation for linear time-varying systems using continuously differentiable interpolation on Grassmann manifold. CoDIT 2019: 165-170 - [c6]Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil:
Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results. ESANN 2019 - [c5]Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil:
Curvature of the Manifold of Fixed-Rank Positive-Semidefinite Matrices Endowed with the Bures-Wasserstein Metric. GSI 2019: 739-748 - [c4]Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart:
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. ICCV Workshops 2019: 1241-1250 - [i2]Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart:
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. CoRR abs/1908.00646 (2019) - 2018
- [i1]Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil:
Blended smoothing splines on Riemannian manifolds. CoRR abs/1812.04420 (2018) - 2017
- [c3]Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk:
Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. ESANN 2017 - [c2]Estelle M. Massart, Sylvain Chevallier:
Inductive Means and Sequences Applied to Online Classification of EEG. GSI 2017: 763-770 - 2016
- [c1]Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil:
Extending a two-variable mean to a multi-variable mean. ESANN 2016
Coauthor Index
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