Estelle M. Massart

According to our database, Estelle M. Massart authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Global optimization using random embeddings.

Coralia Cartis, Estelle M. Massart, Adilet Otemissov

Math. Program., July, 2023

Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings.

Coralia Cartis, Estelle M. Massart, Adilet Otemissov

Math. Program., March, 2023

Coordinate descent on the Stiefel manifold for deep neural network training.

Estelle M. Massart, Vinayak Abrol

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Improving weight clipping in Wasserstein GANs.

Estelle M. Massart

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Orthogonal regularizers in deep learning: how to handle rectangular matrices?

Estelle M. Massart

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training.

Estelle M. Massart, Vinayak Abrol

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices.

Estelle M. Massart, Pierre-Antoine Absil

SIAM J. Matrix Anal. Appl., 2020

Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches.

Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Tatjana Stykel

CoRR, 2020

2019

Data Fitting on Manifolds with Composite Bézier-Like Curves and Blended Cubic Splines.

Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil

J. Math. Imaging Vis., 2019

Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition.

Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Curvature of the Manifold of Fixed-Rank Positive-Semidefinite Matrices Endowed with the Bures-Wasserstein Metric.

Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results.

Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Online balanced truncation for linear time-varying systems using continuously differentiable interpolation on Grassmann manifold.

Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil

Proceedings of the 6th International Conference on Control, 2019

2018

Blended smoothing splines on Riemannian manifolds.

Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil

CoRR, 2018

2017

Inductive Means and Sequences Applied to Online Classification of EEG.

Estelle M. Massart, Sylvain Chevallier

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation.

Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Extending a two-variable mean to a multi-variable mean.

Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016