Nick Vannieuwenhoven

38 papers Journal 37Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Manifold-valued function approximation from multiple tangent spaces. CoRR Hang Wang, Raf Vandebril, Joeri Van der Veken, Nick Vannieuwenhoven
2025	J	`jnl`	Minimality of Tree Tensor Network Ranks. CoRR Jana Jovcheva, Tim Seynnaeve, Nick Vannieuwenhoven
2024	J	`jnl`	A chiseling algorithm for low-rank Grassmann decomposition of skew-symmetric tensors. CoRR Nick Vannieuwenhoven
2024	J	`jnl`	Approximating maps into manifolds with lower curvature bounds. CoRR Simon Jacobsson, Raf Vandebril, Joeri Van der Veken, Nick Vannieuwenhoven
2024	J	`jnl`	Warped geometries of Segre-Veronese manifolds. CoRR Simon Jacobsson, Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven
2024	J	`jnl`	Which constraints of a numerical problem cause ill-conditioning? Numerische Mathematik Nick Dewaele, Nick Vannieuwenhoven
2023	J	`jnl`	Algorithm 1036: ATC, An Advanced Tucker Compression Library for Multidimensional Data. ACM Trans. Math. Softw. Wouter Baert, Nick Vannieuwenhoven
2023	J	`jnl`	Group-Invariant Tensor Train Networks for Supervised Learning. SIAM J. Math. Data Sci. Brent Sprangers, Nick Vannieuwenhoven
2023	J	`jnl`	Hadamard-Hitchcock decompositions: identifiability and computation. CoRR Alessandro Oneto, Nick Vannieuwenhoven
2023	J	`jnl`	The Average Condition Number of Most Tensor Rank Decomposition Problems is Infinite. Found. Comput. Math. Carlos Beltrán, Paul Breiding, Nick Vannieuwenhoven
2023	J	`jnl`	The condition number of many tensor decompositions is invariant under Tucker compression. Numer. Algorithms Nick Dewaele, Paul Breiding, Nick Vannieuwenhoven
2023	J	`jnl`	What part of a numerical problem is ill-conditioned? CoRR Nick Dewaele, Nick Vannieuwenhoven
2022	J	`jnl`	A Normal Form Algorithm for Tensor Rank Decomposition. ACM Trans. Math. Softw. Simon Telen, Nick Vannieuwenhoven
2022	J	`jnl`	Group-invariant tensor train networks for supervised learning. CoRR Brent Sprangers, Nick Vannieuwenhoven
2022	J	`jnl`	Sensitivity of low-rank matrix recovery. Numerische Mathematik Paul Breiding, Nick Vannieuwenhoven
2022	J	`jnl`	Tensor completion using geodesics on Segre manifolds. Numer. Linear Algebra Appl. Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven
2022	J	`jnl`	The condition number of singular subspaces. CoRR Nick Vannieuwenhoven
2021	J	`jnl`	ATC: an Advanced Tucker Compression library for multidimensional data. CoRR Wouter Baert, Nick Vannieuwenhoven
2021	J	`jnl`	Algebraic compressed sensing. CoRR Paul Breiding, Fulvio Gesmundo, Mateusz Michalek, Nick Vannieuwenhoven
2021	J	`jnl`	Normal Forms for Tensor Rank Decomposition. CoRR Simon Telen, Nick Vannieuwenhoven
2021	J	`jnl`	Relative-error stability of numerical algorithms. CoRR Carlos Beltrán, Vanni Noferini, Nick Vannieuwenhoven
2021	J	`jnl`	Sensitivity of low-rank matrix recovery. CoRR Paul Breiding, Nick Vannieuwenhoven
2021	J	`jnl`	Tensor completion using geodesics on Segre manifolds. CoRR Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven
2021	J	`jnl`	The Condition Number of Riemannian Approximation Problems. SIAM J. Optim. Paul Breiding, Nick Vannieuwenhoven
2021	J	`jnl`	The condition number of many tensor decompositions is invariant under Tucker compression. CoRR Nick Dewaele, Paul Breiding, Nick Vannieuwenhoven
2021	J	`jnl`	Three decompositions of symmetric tensors have similar condition numbers. CoRR Nick Dewaele, Paul Breiding, Nick Vannieuwenhoven
2019	J	`jnl`	A theory of condition for unconstrained perturbations. CoRR Paul Breiding, Nick Vannieuwenhoven
2019	—	`conf`	Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods. PKDD/ECML Workshops (2) Kenneth Verstraete, Tom Decroos, Bruno Coussement, Nick Vannieuwenhoven, Jesse Davis
2019	J	`jnl`	Pencil-Based Algorithms for Tensor Rank Decomposition are not Stable. SIAM J. Matrix Anal. Appl. Carlos Beltrán, Paul Breiding, Nick Vannieuwenhoven
2018	J	`jnl`	A Riemannian Trust Region Method for the Canonical Tensor Rank Approximation Problem. SIAM J. Optim. Paul Breiding, Nick Vannieuwenhoven
2018	J	`jnl`	Convergence analysis of Riemannian Gauss-Newton methods and its connection with the geometric condition number. Appl. Math. Lett. Paul Breiding, Nick Vannieuwenhoven
2018	J	`jnl`	The Condition Number of Join Decompositions. SIAM J. Matrix Anal. Appl. Paul Breiding, Nick Vannieuwenhoven
2017	J	`jnl`	Effective Criteria for Specific Identifiability of Tensors and Forms. SIAM J. Matrix Anal. Appl. Luca Chiantini, Giorgio Ottaviani, Nick Vannieuwenhoven
2015	J	`jnl`	Computing the Gradient in Optimization Algorithms for the CP Decomposition in Constant Memory through Tensor Blocking. SIAM J. Sci. Comput. Nick Vannieuwenhoven, Karl Meerbergen, Raf Vandebril
2014	J	`jnl`	An Algorithm For Generic and Low-Rank Specific Identifiability of Complex Tensors. SIAM J. Matrix Anal. Appl. Luca Chiantini, Giorgio Ottaviani, Nick Vannieuwenhoven
2014	J	`jnl`	On Generic Nonexistence of the Schmidt-Eckart-Young Decomposition for Complex Tensors. SIAM J. Matrix Anal. Appl. Nick Vannieuwenhoven, Johannes Nicaise, Raf Vandebril, Karl Meerbergen
2013	J	`jnl`	IMF: An Incomplete Multifrontal LU-Factorization for Element-Structured Sparse Linear Systems. SIAM J. Sci. Comput. Nick Vannieuwenhoven, Karl Meerbergen
2012	J	`jnl`	A New Truncation Strategy for the Higher-Order Singular Value Decomposition. SIAM J. Sci. Comput. Nick Vannieuwenhoven, Raf Vandebril, Karl Meerbergen