31 citations · 56 across the 10 of their papers we have counts for
10 papers
Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens
Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine +1
The quantum separability problem consists in deciding whether a bipartite density matrix is entangled or separable. In this work, we propose a machine learning pipeline for finding…
Unmixing 2D HSQC NMR mixtures with -NMF and sparsity
Afef Cherni, Sandrine Anthoine, Caroline Chaux
Nuclear Magnetic Resonance (NMR) spectroscopy is an efficient technique to analyze chemical mixtures in which one acquires spectra of the chemical mixtures along one ore more dimen…
Recovery and convergence rate of the Frank-Wolfe Algorithm for the m-EXACT-SPARSE Problem
Farah Cherfaoui, Valentin Emiya, Liva Ralaivola +1
We study the properties of the Frank-Wolfe algorithm to solve the m-EXACT-SPARSE reconstruction problem, where a signal y must be expressed as a sparse linear combination of a pred…
Proceedings of the fourth "international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques" (iTWIST'18)
Sandrine Anthoine, Yannick Boursier, Laurent Jacques
The iTWIST workshop series aim at fostering collaboration between international scientific teams for developing new theories, applications and generalizations of low-complexity mod…
Frank-Wolfe Algorithm for the Exact Sparse Problem
Farah Cherfaoui, Valentin Emiya, Liva Ralaivola +1
In this paper, we study the properties of the Frank-Wolfe algorithm to solve the \ExactSparse reconstruction problem. We prove that when the dictionary is quasi-incoherent, at each…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…