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2020 – today
- 2023
[j8]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Online rank-revealing block-term tensor decomposition. Signal Process. 212: 109126 (2023)- [c18]Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein
, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. ICCV (Workshops) 2023: 3376-3384 - [c17]Liangzu Peng, Paris Giampouras, René Vidal:
The Ideal Continual Learner: An Agent That Never Forgets. ICML 2023: 27585-27610 - [i12]Liangzu Peng, Paris V. Giampouras, René Vidal:
The Ideal Continual Learner: An Agent That Never Forgets. CoRR abs/2305.00316 (2023) - [i11]Darshan Thaker, Paris Giampouras, René Vidal:
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. CoRR abs/2306.04756 (2023) - [i10]Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras:
Clustering-based Domain-Incremental Learning. CoRR abs/2309.12078 (2023) - 2022
- [j7]Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis:
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way. IEEE Trans. Signal Process. 70: 1704-1717 (2022) - [c16]Eleftherios Kofidis, Paris V. Giampouras, Athanasios A. Rontogiannis:
A Projected Newton-type Algorithm for Rank - revealing Nonnegative Block - Term Tensor Decomposition. EUSIPCO 2022: 1961-1965 - [c15]Paris Giampouras, Benjamin David Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. ICLR 2022 - [c14]Darshan Thaker, Paris Giampouras, René Vidal:
Reverse Engineering ℓp attacks: A block-sparse optimization approach with recovery guarantees. ICML 2022: 21253-21271 - [i9]Paris V. Giampouras, Benjamin D. Haeffele, René Vidal:
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension. CoRR abs/2201.09079 (2022) - [i8]Darshan Thaker, Paris Giampouras, René Vidal:
Reverse Engineering 𝓁p attacks: A block-sparse optimization approach with recovery guarantees. CoRR abs/2203.04886 (2022) - 2021
- [j6]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Block-Term Tensor Decomposition: Model Selection and Computation. IEEE J. Sel. Top. Signal Process. 15(3): 464-475 (2021) - [c13]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Online Rank-Revealing Block-Term Tensor Decomposition. ACSCC 2021: 1678-1682 - [c12]Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis:
A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation. EUSIPCO 2021: 1800-1804 - [c11]Athanasios A. Rontogiannis, Paris V. Giampouras, Eleftherios Kofidis:
Rank-Revealing Block-Term Decomposition for Tensor Completion. ICASSP 2021: 2915-2919 - [i7]Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis:
A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation. CoRR abs/2101.02931 (2021) - [i6]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Online Rank-Revealing Block-Term Tensor Decomposition. CoRR abs/2106.10755 (2021) - 2020
- [j5]Athanasios A. Rontogiannis, Paris V. Giampouras, Konstantinos D. Koutroumbas:
Online Reweighted Least Squares Robust PCA. IEEE Signal Process. Lett. 27: 1340-1344 (2020) - [c10]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Block-Term Tensor Decomposition: Model Selection and Computation. EUSIPCO 2020: 1976-1980 - [c9]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-$p$ quasi-norm. NeurIPS 2020 - [i5]Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Block-Term Tensor Decomposition: Model Selection and Computation. CoRR abs/2002.09759 (2020) - [i4]Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele:
A novel variational form of the Schatten-p quasi-norm. CoRR abs/2010.13927 (2020)
2010 – 2019
- 2019
- [j4]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Alternating Iteratively Reweighted Least Squares Minimization for Low-Rank Matrix Factorization. IEEE Trans. Signal Process. 67(2): 490-503 (2019) - [c8]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
A Projected Newton-type Algorithm for Nonnegative Matrix Factorization with Model Order Selection. ICASSP 2019: 3497-3501 - 2018
- [j3]Ioannis C. Tsaknakis, Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
A Computationally Efficient Tensor Completion Algorithm. IEEE Signal Process. Lett. 25(8): 1266-1270 (2018) - [c7]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Robust PCA via Alternating Iteratively Reweighted Low-Rank Matrix Factorization. ICIP 2018: 3383-3387 - 2017
- [j2]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos D. Koutroumbas:
Online sparse and low-rank subspace learning from incomplete data: A Bayesian view. Signal Process. 137: 199-212 (2017) - [c6]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Low-rank and sparse NMF for joint endmembers' number estimation and blind unmixing of hyperspectral images. EUSIPCO 2017: 1430-1434 - [i3]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Low-rank and Sparse NMF for Joint Endmembers' Number Estimation and Blind Unmixing of Hyperspectral Images. CoRR abs/1703.05785 (2017) - [i2]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization. CoRR abs/1710.02004 (2017) - 2016
- [j1]Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(8): 4775-4789 (2016) - [c5]Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ℓ1 regularization. SSP 2016: 1-5 - 2015
- [c4]Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas:
Online Bayesian low-rank subspace learning from partial observations. EUSIPCO 2015: 2526-2530 - [c3]Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation. WHISPERS 2015: 1-4 - [i1]Paris Giampouras, Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas:
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing. CoRR abs/1504.01515 (2015) - 2014
- [c2]Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
A variational Bayes algorithm for joint-sparse abundance estimation. WHISPERS 2014: 1-4 - 2013
- [c1]Paris Giampouras, Eleni Charou, Anastasios L. Kesidis:
Artificial Neural Network Approach for Land Cover Classification of Fused Hyperspectral and Lidar Data. AIAI 2013: 255-261
Coauthor Index
aka: Konstantinos D. Koutroumbas
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