3 papers
cs.SI2024
Ellipsoidal embeddings of graphs
Michaël Fanuel, Antoine Aspeel, Michael T. Schaub +1
Due to their flexibility to represent almost any kind of relational data, graph-based models have enjoyed a tremendous success over the past decades. While graphs are inherently on…
stat.CO2023
On sampling determinantal and Pfaffian point processes on a quantum computer
Rémi Bardenet, Michaël Fanuel, Alexandre Feller
DPPs were introduced by Macchi as a model in quantum optics the 1970s. Since then, they have been widely used as models and subsampling tools in statistics and computer science. Mo…
stat.ME2022
Smoothing complex-valued signals on Graphs with Monte-Carlo
Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard +3
We introduce new smoothing estimators for complex signals on graphs, based on a recently studied Determinantal Point Process (DPP). These estimators are built from subsets of edges…