Skolkovo Institute of Science and TechnologyDownload CV
1. Matrix and tensor completion, especially completion for tensor networks TT, TR, HT.
2. The topic of "tall and thin" tensor (generalization properties of tall and thin low rank matrices) not only for compression but other applications like feature extraction, classification, clustering and anomaly detection.
3. New algorithms for TT and TR large scale decomposition like e.g sequential Tucker 2 approaches.
4. Transformation one tensor networks to another, especially TT to CPD /Parafac.
5. Proposing efficient Iterative algorithms for tensor problems.
Publications since 2016