Scientific projects
- Stochastic subsampling for factorizing huge matrices
- Fast independent component analysis solver for real data
- Learning from heterogeneous data
- Fast clustering with the Recursive Nearest agglomeration algorithm
- Magneto-encelography source localization
- Efficient statistical testing for high-dimensional models
Partners and related efforts
- Paris-Saclay Center for Data Science – Phase 2: Parietal is the host of the data-scientists for the CDS
- DataIA: Parietal is funded by DataIA
