Pierre-Antoine Absil
Orcid: 0000-0003-2946-4178
According to our database1,
Pierre-Antoine Absil
authored at least 123 papers
between 2001 and 2024.
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Bibliography
2024
Adv. Comput. Math., April, 2024
Adv. Comput. Math., February, 2024
2023
An Apocalypse-Free First-Order Low-Rank Optimization Algorithm with at Most One Rank Reduction Attempt per Iteration.
SIAM J. Matrix Anal. Appl., September, 2023
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
J. Comput. Appl. Math., 2022
Comparison of an Apocalypse-Free and an Apocalypse-Prone First-Order Low-Rank Optimization Algorithm.
CoRR, 2022
Comput. Optim. Appl., 2022
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization.
SIAM J. Matrix Anal. Appl., 2021
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
2020
Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices.
SIAM J. Matrix Anal. Appl., 2020
Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method.
Numer. Linear Algebra Appl., 2020
On the Quality of First-Order Approximation of Functions with Hölder Continuous Gradient.
J. Optim. Theory Appl., 2020
CoRR, 2020
CoRR, 2020
2019
Data Fitting on Manifolds with Composite Bézier-Like Curves and Blended Cubic Splines.
J. Math. Imaging Vis., 2019
Curvature of the Manifold of Fixed-Rank Positive-Semidefinite Matrices Endowed with the Bures-Wasserstein Metric.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Preconditioned conjugate gradient algorithms for graph regularized matrix completion.
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.
Proceedings of the 6th International Conference on Control, 2019
2018
ACM Trans. Math. Softw., 2018
A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems.
SIAM J. Optim., 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Intrinsic representation of tangent vectors and vector transports on matrix manifolds.
Numerische Mathematik, 2017
Fast Method to Fit a <i>C</i><sup>1</sup> Piecewise-Bézier Function to Manifold-Valued Data Points: How Suboptimal is the Curve Obtained on the Sphere S<sup>2</sup> ?
Proceedings of the Geometric Science of Information - Third International Conference, 2017
Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Comparison of location-scale and matrix factorization batch effect removal methods on gene expression datasets.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
SIAM J. Sci. Comput., 2016
SIAM J. Imaging Sci., 2016
J. Math. Imaging Vis., 2016
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016
Independent Component Analysis to Remove Batch Effects from Merged Microarray Datasets.
Proceedings of the Algorithms in Bioinformatics - 16th International Workshop, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
SIAM J. Optim., 2015
Fitting Smooth Paths on Riemannian Manifolds: Endometrial Surface Reconstruction and Preoperative MRI-Based Navigation.
Proceedings of the Geometric Science of Information - Second International Conference, 2015
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2015, 2015
2014
Addressing Rank Degeneracy in Constraint-Reduced Interior-Point Methods for Linear Optimization.
J. Optim. Theory Appl., 2014
J. Comput. Appl. Math., 2014
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering.
Neurocomputing, 2014
Neurocomputing, 2014
Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries.
Comput. Stat., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
Piecewise-Bézier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape Morphing.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors.
SIAM J. Matrix Anal. Appl., 2013
Spherical Mesh Adaptive Direct Search for Separating Quasi-Uncorrelated Sources by Range-Based Independent Component Analysis.
Neural Comput., 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Found. Comput. Math., 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the High-Performance Scientific Computing - Algorithms and Applications., 2012
2011
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme.
SIAM J. Matrix Anal. Appl., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Combinatorial Image Analysis - 14th International Workshop, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Algorithm comparison for Karcher mean computation of rotation matrices and diffusion tensors.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
SIAM J. Matrix Anal. Appl., 2010
SIAM J. Optim., 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010
2009
Differential-geometric Newton method for the best rank-(<i>R</i><sub>1</sub>, <i>R</i><sub>2</sub>, <i>R</i><sub>3</sub>) approximation of tensors.
Numer. Algorithms, 2009
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009
Using H<sup>2</sup>norm to bound H<sup>∞</sup>norm from above on real rational modules.
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Commun. Inf. Syst., 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Princeton University Press, ISBN: 978-0-691-13298-3, 2008
2007
Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis.
PLoS Comput. Biol., 2007
Comput. Optim. Appl., 2007
Geometric Optimization Methods for Independent Component Analysis Applied on Gene Expression Data.
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
SIAM J. Optim., 2006
Continuous-time Systems that Solve Computational Problems.
Int. J. Unconv. Comput., 2006
An Implicit Riemannian Trust-Region Method for the Symmetric Generalized Eigenproblem.
Proceedings of the Computational Science, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
SIAM J. Optim., 2005
Proceedings of the Computational Science, 2005
2004
SIAM J. Matrix Anal. Appl., 2004
Syst. Control. Lett., 2004
2003
A Newton algorithm for invariant subspace computation with large basins of attraction.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
2002
SIAM Rev., 2002
2001
Proceedings of the 6th European Control Conference, 2001