Estelle M. Massart

22 papers A* 1B 6C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Neural Feature Ansatz for Deep Neural Networks. CoRR Edward Tansley, Estelle M. Massart, Coralia Cartis
2023	J	`jnl`	Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings. Math. Program. Coralia Cartis, Estelle M. Massart, Adilet Otemissov
2023	B	`conf`	Coordinate descent on the Stiefel manifold for deep neural network training. ESANN Estelle M. Massart, Vinayak Abrol
2023	J	`jnl`	Global optimization using random embeddings. Math. Program. Coralia Cartis, Estelle M. Massart, Adilet Otemissov
2022	A*	`conf`	Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. AAAI Estelle M. Massart, Vinayak Abrol
2022	B	`conf`	Improving weight clipping in Wasserstein GANs. ICPR Estelle M. Massart
2022	B	`conf`	Orthogonal regularizers in deep learning: how to handle rectangular matrices? ICPR Estelle M. Massart
2021	J	`jnl`	Coordinate descent on the orthogonal group for recurrent neural network training. CoRR Estelle M. Massart, Vinayak Abrol
2021	J	`jnl`	Global optimization using random embeddings. CoRR Coralia Cartis, Estelle M. Massart, Adilet Otemissov
2020	J	`jnl`	Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches. CoRR Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Tatjana Stykel
2020	J	`jnl`	Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices. SIAM J. Matrix Anal. Appl. Estelle M. Massart, Pierre-Antoine Absil
2019	—	`conf`	Curvature of the Manifold of Fixed-Rank Positive-Semidefinite Matrices Endowed with the Bures-Wasserstein Metric. GSI Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil
2019	J	`jnl`	Data Fitting on Manifolds with Composite Bézier-Like Curves and Blended Cubic Splines. J. Math. Imaging Vis. Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil
2019	—	`—`	Data fitting on positive-semidefinite matrix manifolds. Estelle M. Massart
2019	—	`conf`	Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. ICCV Workshops Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart
2019	J	`jnl`	Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. CoRR Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart
2019	B	`conf`	Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results. ESANN Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil
2019	C	`conf`	Online balanced truncation for linear time-varying systems using continuously differentiable interpolation on Grassmann manifold. CoDIT Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil
2018	J	`jnl`	Blended smoothing splines on Riemannian manifolds. CoRR Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil
2017	—	`conf`	Inductive Means and Sequences Applied to Online Classification of EEG. GSI Estelle M. Massart, Sylvain Chevallier
2017	B	`conf`	Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation. ESANN Pierre-Yves Gousenbourger, Estelle M. Massart, Antoni Musolas, Pierre-Antoine Absil, Julien M. Hendrickx, Laurent Jacques, Youssef M. Marzouk
2016	B	`conf`	Extending a two-variable mean to a multi-variable mean. ESANN Estelle M. Massart, Julien M. Hendrickx, Pierre-Antoine Absil