Journal papers

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

2. A. A. Rontogiannis, E. Kofidis and P. V. 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)

3. 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)

4. P.V. Giampouras, A. A. Rontogiannis and K. D. Koutroumbas, "Alternating Iteratively Reweighted Least Squares Minimization for Low-rank Matrix Factorization", in IEEE Transactions on Signal Processing, vol. 67, no. 2, pp. 490-503, Jan. 2019. (pdf)

5. I.C. Tsaknakis, P.V. Giampouras, A.A. Rontogiannis, K.D. Koutroumbas, “A Computationally Efficient Tensor Completion Algorithm,” IEEE Signal Processing Letters, vol. 25, no. 8, pp. 1266-1270, Aug. 2018. (pdf)

6. P.V Giampouras, K.E. Themelis, A.A. Rontogiannis, K.D. Koutroumbas, “Structured Abundance Matrix Estimation for Land Cover Hyperspectral Image Unmixing”, Chapter in book: Compressive Sensing of Earth Observations, C.H. Chen (Editor), CRC Press Signal and Image Processing of Earth Observations Book Series, 2017.

7. P.V. Giampouras, A.A. Rontogiannis, K.E. Themelis, K.D. Koutroumbas, “Online Sparse and Low-Rank Subspace Learning from Incomplete Data: A Bayesian View,” Elsevier Signal Processing, Aug. 2017. (pdf)

8. I Binietoglou, P Giampouras, L Belegante, "Linear approximation of Rayleigh–Brillouin scattering spectra", Applied Optics, 2016.

9. P.V. Giampouras, K.E. Themelis, A.A. Rontogiannis, K.D. Koutroumbas, "Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, issue.8, pp. 4775-4789, Aug. 2016. (pdf , code)

Conference Papers (Peer-Reviewed)

1. P. V. Giampouras*, D. Thaker*, Rene Vidal, "Reverse Engineering lp attacks: A block-sparse optimization approach with recovery guarantees", International Conference on Machine Learning (ICML), 2022. (pdf) *equal contribution.

2. 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.

3. 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.

4. 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)

5. 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. (pdf)

6. 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)

7. 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 (NeurIPS), 2020. (pdf)

8. P.V. Giampouras , A.A. Rontogiannis , K.D. Koutroumbas, "An IRLS Approach for Low-Rank Matrix Factorization", Signal Processing with Adaptive Sparse Structured Representations (SPARS) , Toulouse, July 2019. (pdf)

9. P.V. Giampouras , A.A. Rontogiannis , K.D. Koutroumbas, "A Projected Newton-type Algorithm for Nonnegative Matrix Factorization with Model Order Selection", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019. (pdf)

10. P.V. Giampouras , A.A. Rontogiannis , K.D. Koutroumbas, "Robust PCA via Alternatingly Iteratively Reweighted Low-rank Matrix Factorization", in IEEE International Conference on Image Processing (ICIP), Athens, Oct. 2018. (pdf)

11. P.V. Giampouras , A.A. Rontogiannis , K.D. Koutroumbas, "Low-rank and Sparse NMF for joint endmembers' number estimation and Blind Unmixing of Hyperspectral Images", in 25^th European Signal Processing Conference (EUSIPCO), Kos, Sept. 2017. (pdf)

12. P.V. Giampouras , A.A. Rontogiannis , K.D. Koutroumbas, "l1/l2 regularized non-convex low-rank matrix factorization", Signal Processing with Adaptive Sparse Structured Representations (SPARS) , Lisbon, June 2017. (pdf)

13. P.V. Giampouras, A.A. Rontogiannis, K.D. Koutroumbas, “Online Low-Rank Subspace Learning from Incomplete Data Using Rank Revealing l₂/l₁ Regularization”, In proceedings of the IEEE Statistical Signal Processing Workshop (SSP), Palma de Mallorca, June 2016. (pdf, poster)

14. P.V. Giampouras, A.A. Rontogiannis, K.E. Themelis, K.D. Koutroumbas, “Online Bayesian Low-Rank Subspace Learning from Partial Observations”, In procedings of the 23^th European Signal Processing Conference (EUSIPCO), Nice, Sept. 2015. (pdf, presentation)

15. P.V. Giampouras, A.A. Rontogiannis, K.D. Koutroumbas, K.E. Themelis, “A Sparse Reduced-Rank Regression Approach for Hyperspectral Image Unmixing”, In proceedings of the 3^rdInternational Workshop on Compressive Sensing Theory and its Applications in Radar, Sonar and Remote Sensing (CoSeRa), Pisa, June 2015. (2nd Best Student Paper Award winning paper) (pdf)

16. P. V. Giampouras, K.E. Themelis, A.A. Rontogiannis, K.D. Koutroumbas, “Hyperspectral Image Unmixing via Simultaneously Sparse and Low-Rank Adundance Matrix Estimation”, In proceedings of the 7^th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, June 2015. (pdf)

17. P. Giampouras, K. Themelis, A.A. Rontogiannis, K. Koutroumbas, “A Variational Bayes Algorithm for Joint-Sparse Abundance Estimation”, In proceedings of the 6^th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, June 2014. (pdf)

18. P. Giampouras, E. Charou, and A. Kesidis, ”Artificial Neural Network Approach for Land Cover Classification of Fused Hyperspectral and Lidar Data.” Artificial Intelligence Applications and Innovations, Paphos, 2013.

Theses

1. PhD Thesis: "Nonconvex Optimization Algorithms for Structured Matrix Estimation in Large-Scale Data Applications". (pdf)

2. Master's Thesis: "Non Invasive Extraction of PPG signal and Heart Rate through Video Processing", Feb. 2014 (pdf in Greek).

3. Diploma Thesis: "Cooperative Strategies and Cooperative Diversity in Wireless Networks'', Sept. 2011 (pdf in Greek).