Paris Giampouras

According to our database, Paris Giampouras authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery.

Paris Giampouras, HanQin Cai, René Vidal

CoRR, 2024

2023

Online rank-revealing block-term tensor decomposition.

Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras

Signal Process., November, 2023

A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions.

Darshan Thaker, Paris Giampouras, René Vidal

CoRR, 2023

The Ideal Continual Learner: An Agent That Never Forgets.

Liangzu Peng, Paris Giampouras, René Vidal

Proceedings of the International Conference on Machine Learning, 2023

Clustering-based Domain-Incremental Learning.

Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way.

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis

IEEE Trans. Signal Process., 2022

Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees.

Darshan Thaker, Paris Giampouras, René Vidal

Proceedings of the International Conference on Machine Learning, 2022

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension.

Paris Giampouras, Benjamin David Haeffele, René Vidal

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Projected Newton-type Algorithm for Rank - revealing Nonnegative Block - Term Tensor Decomposition.

Eleftherios Kofidis, Paris V. Giampouras, Athanasios A. Rontogiannis

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Block-Term Tensor Decomposition: Model Selection and Computation.

Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras

IEEE J. Sel. Top. Signal Process., 2021

Rank-Revealing Block-Term Decomposition for Tensor Completion.

Athanasios A. Rontogiannis, Paris V. Giampouras, Eleftherios Kofidis

Proceedings of the IEEE International Conference on Acoustics, 2021

A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation.

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Online Reweighted Least Squares Robust PCA.

Athanasios A. Rontogiannis, Paris V. Giampouras, Konstantinos D. Koutroumbas

IEEE Signal Process. Lett., 2020

A novel variational form of the Schatten-$p$ quasi-norm.

Paris Giampouras, René Vidal, Athanasios A. Rontogiannis, Benjamin D. Haeffele

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Alternating Iteratively Reweighted Least Squares Minimization for Low-Rank Matrix Factorization.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Trans. Signal Process., 2019

A Projected Newton-type Algorithm for Nonnegative Matrix Factorization with Model Order Selection.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Computationally Efficient Tensor Completion Algorithm.

Ioannis C. Tsaknakis, Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Signal Process. Lett., 2018

Robust PCA via Alternating Iteratively Reweighted Low-Rank Matrix Factorization.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Online sparse and low-rank subspace learning from incomplete data: A Bayesian view.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos D. Koutroumbas

Signal Process., 2017

Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

CoRR, 2017

Low-rank and sparse NMF for joint endmembers' number estimation and blind unmixing of hyperspectral images.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing.

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

IEEE Trans. Geosci. Remote. Sens., 2016

Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ℓ1 regularization.

Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015

Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation.

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Online Bayesian low-rank subspace learning from partial observations.

Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

A variational Bayes algorithm for joint-sparse abundance estimation.

Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013

Artificial Neural Network Approach for Land Cover Classification of Fused Hyperspectral and Lidar Data.

Paris Giampouras, Eleni Charou, Anastasios L. Kesidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2013