| Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4775-4789, 2016 | 146 | 2016 |
| Alternating iteratively reweighted least squares minimization for low-rank matrix factorization PV Giampouras, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 67 (2), 490-503, 2018 | 41 | 2018 |
| Block-term tensor decomposition: Model selection and computation AA Rontogiannis, E Kofidis, PV Giampouras IEEE Journal of Selected Topics in Signal Processing 15 (3), 464-475, 2021 | 36 | 2021 |
| Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way PV Giampouras, AA Rontogiannis, E Kofidis IEEE Transactions on Signal Processing, 2022 | 23 | 2022 |
| The Ideal Continual Learner: An Agent That Never Forgets L Peng, PV Giampouras, R Vidal 40th International Conference on Machine Learning (ICML), 2023, 2023 | 21 | 2023 |
| Online sparse and low-rank subspace learning from incomplete data: A Bayesian view PV Giampouras, AA Rontogiannis, KE Themelis, KD Koutroumbas Signal Processing 137, 199-212, 2017 | 19 | 2017 |
| Structured Abundance Matrix Estimation for Land Cover Hyperspectral Image Unmixing PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas Compressive Sensing of Earth Observations, 299-312, 2017 | 18* | 2017 |
| Online Rank-Revealing Block-Term Tensor Decomposition AA Rontogiannis, E Kofidis, PV Giampouras Signal Processing, 2023 | 14 | 2023 |
| A novel variational form of the Schatten-p quasi-norm P Giampouras, R Vidal, A Rontogiannis, B Haeffele Advances in Neural Information Processing Systems 33 (NeuRIPS), 2020 | 12 | 2020 |
| Low-rank and sparse nmf for joint endmembers' number estimation and blind unmixing of hyperspectral images PV Giampouras, AA Rontogiannis, KD Koutroumbas 2017 25th European Signal Processing Conference (EUSIPCO), 1430-1434, 2017 | 12 | 2017 |
| Linear approximation of Rayleigh–Brillouin scattering spectra I Binietoglou, P Giampouras, L Belegante Applied Optics 55 (27), 7707-7711, 2016 | 11 | 2016 |
| Rank-revealing block-term decomposition for tensor completion AA Rontogiannis, PV Giampouras, E Kofidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| Robust PCA via alternating iteratively reweighted low-rank matrix factorization PV Giampouras, AA Rontogiannis, KD Koutroumbas 2018 25th IEEE International Conference on Image Processing (ICIP), 3383-3387, 2018 | 9 | 2018 |
| Reverse Engineering lp attacks: A block-sparse optimization approach with recovery guarantees D Thaker*, P Giampouras*, R Vidal 39th International Conference on Machine Learning (ICML) (*equal contribution), 2022 | 8 | 2022 |
| Online reweighted least squares robust PCA AA Rontogiannis, PV Giampouras, KD Koutroumbas IEEE Signal Processing Letters 27, 1340-1344, 2020 | 8 | 2020 |
| Online Bayesian low-rank subspace learning from partial observations PV Giampouras, AA Rontogiannis, KE Themelis, KD Koutroumbas | 8 | 2015 |
| Clustering-based domain-incremental learning C Lamers, R Vidal, N Belbachir, N van Stein, T Bäeck, P Giampouras Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| A computationally efficient tensor completion algorithm IC Tsaknakis, PV Giampouras, AA Rontogiannis, KD Koutroumbas IEEE Signal Processing Letters 25 (8), 1266-1270, 2018 | 7 | 2018 |
| l1/l2 regularized non-convex low-rank matrix factorization PV Giampouras, AA Rontogiannis, KD Koutroumbas Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017 | 6 | 2017 |
| Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ℓ1 regularization PV Giampouras, AA Rontogiannis, KD Koutroumbas 2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016 | 6 | 2016 |
Athanasios RontogiannisSchool of ECE, National Technical University of AthensVerified email at mail.ntua.gr
