Extending a two-variable mean to a multi-variable mean. - Estelle M. Massart; Julien M. Hendrickx; Pierre-Antoine Absil (ESANN, 2016)

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 (ESANN, 2017)

Inductive Means and Sequences Applied to Online Classification of EEG. - Estelle M. Massart; Sylvain Chevallier (GSI, 2017)

Blended smoothing splines on Riemannian manifolds. - Pierre-Yves Gousenbourger; Estelle M. Massart; Pierre-Antoine Absil (CoRR, 2018)

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 (CoDIT, 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 (ESANN, 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 (GSI, 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 (ICCV Workshops, 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)

Data fitting on positive-semidefinite matrix manifolds. - Estelle M. Massart (2019)

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)

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)

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. - Estelle M. Massart; Vinayak Abrol (AAAI, 2022)

Orthogonal regularizers in deep learning: how to handle rectangular matrices? - Estelle M. Massart (ICPR, 2022)

Improving weight clipping in Wasserstein GANs. - Estelle M. Massart (ICPR, 2022)

Coordinate descent on the Stiefel manifold for deep neural network training. - Estelle M. Massart; Vinayak Abrol (ESANN, 2023)

Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings. - Coralia Cartis; Estelle M. Massart; Adilet Otemissov (Math. Program., 2023)

Global optimization using random embeddings. - Coralia Cartis; Estelle M. Massart; Adilet Otemissov (Math. Program., 2023)