HyPPOCRATES

HyPPOCRATES.pdf

HyPPOCRATES' Publications

  1. P. V. Giampouras, A. A. Rontogiannis, and E. Kofidis. "Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way", IEEE Transactions on Signal Processing, 2022.

  2. E. Kofidis, P. V. Giampouras, A. A. Rontogiannis. "A Projected Newton-type Algorithm for Rank-revealing Nonnegative Block-Term Tensor Decomposition", 30th European Signal Processing Conference (EUSIPCO), 2022.

  3. P. V. Giampouras, B. Haeffele, Rene Vidal, "Implicit Bias of Projected Subgradient Methods Gives Provable Robust Recovery of Subspaces of Unknown Codimension", International Conference on Learning Representations (ICLR) (spotlight presentation, top 5%), 2022.

  4. A. A. Rontogiannis, E. Kofidis and P. Giampouras, "Block-Term Tensor Decomposition: Model Selection and Computation," in IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2021.3051488, Apr. 2021. (pdf)

  5. P. V. Giampouras, A. A. Rontogiannis, and E. Kofidis. "A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation", 2021 29th European Signal Processing Conference (EUSIPCO), (Virtual) 2021. (pdf)

  6. A. A. Rontogiannis, P. V. Giampouras and E. Kofidis, "Rank-revealing block-term decomposition for tensor completion," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ( virtual conference), 2021.

  7. A. A. Rontogiannis, E. Kofidis and P. V. Giampouras, "Block-Term Tensor Decomposition: Model Selection and Computation," 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, 2021, pp. 1976-1980, doi: 10.23919/Eusipco47968.2020.9287527. (pdf)

  8. A. A. Rontogiannis, P. V. Giampouras and K. D. Koutroumbas, "Online Reweighted Least Squares Robust PCA," in IEEE Signal Processing Letters, doi: 10.1109/LSP.2020.3011896, July 2020. (pdf)

  9. P.V. Giampouras, R. Vidal, A.A. Rontogiannis, B. Haeffele, "A novel variational form of the Schatten-p quasi-norm", Proceedings of the 34th Conference on Neural Information Processing Systems, 2020. (pdf)

HyPPOCRATES is funded by European Union's Horizon 2020 Marie Skłodowska-Curie Global Fellowship program: HyPPOCRATES-H2020-MSCA-IF-2018 under Grant Agreement 844290.