Search Results for author:
Found 5 papers, 0 papers with code
Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens
The quantum separability problem consists in deciding whether a bipartite density matrix is entangled or separable.
Unmixing 2D HSQC NMR mixtures with $β$-NMF and sparsity
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 dimensions.
Medical Physics Optimization and Control
Frank-Wolfe Algorithm for the Exact Sparse Problem
In this paper, we study the properties of the Frank-Wolfe algorithm to solve the \ExactSparse reconstruction problem.
Proceedings of the fourth "international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques" (iTWIST'18)
The iTWIST workshop series aim at fostering collaboration between international scientific teams for developing new theories, applications and generalizations of low-complexity models.
Empirical Bernstein Inequalities for U-Statistics
They are expressed with respect to empirical estimates of either the variance of q or the conditional variance that appears in the Bernstein-type inequality for U-statistics derived by Arcones [2].
