Sergios Theodoridis

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 51

Top Venues

CoRR

ICASSP

EUSIPCO

IEEE Trans. Signal Process.

Publications

Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners. ICLR (2024)
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. ICASSP (2024)
Rui Zhou, Wenqiang Pu, Licheng Zhao, Ming-Yi You, Qingjiang Shi, Sergios Theodoridis
Cooperative Sensing Via Matrix Factorization of the Partially Received Sample Covariance Matrix. ICASSP (2024)
Manuel Morante, Jan Østergaard, Sergios Theodoridis
Interpretable Nonnegative Incoherent Deep Dictionary Learning for FMRI Data Analysis. ICASSP (2023)
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. CoRR (2023)
Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. CoRR (2023)
Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP (2023)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR (2022)
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. IEEE Trans. Signal Process. 70 (2022)
George Sarantoglou, Adonis Bogris, Charis Mesaritakis, Sergios Theodoridis
Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing. CoRR (2022)
Charis Mesaritakis, George Sarantoglou, Sergios Theodoridis, Adonis Bogris
Bayesian Training in Photonic Neural Meshes. COMPENG (2022)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. 39 (6) (2022)
Payam Shahsavari Baboukani, Sergios Theodoridis, Jan Østergaard
A Stimuli-Relevant Directed Dependency Index for Time Series. ICASSP (2022)
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. CoRR (2021)
Konstantinos P. Panousis, Soritios Chatzis, Sergios Theodoridis
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition. ISVC (2) (2021)
Rama Chellappa, Sergios Theodoridis, André van Schaik
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109 (5) (2021)
Manuel Morante, Yannis Kopsinis, Christos Chatzichristos, Athanassios Protopapas, Sergios Theodoridis
Enhanced design matrix for task-related fMRI data analysis. NeuroImage 245 (2021)
Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. AISTATS (2021)
Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Dialog Speech Sentiment Classification for Imbalanced Datasets. SPECOM (2021)
Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Dialog speech sentiment classification for imbalanced datasets. CoRR (2021)
Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. CoRR (2021)
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior. CoRR (2020)
Ioannis Tomkos, Dimitrios Klonidis, Evangelos Pikasis, Sergios Theodoridis
Toward the 6G Network Era: Opportunities and Challenges. IT Prof. 22 (1) (2020)
Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. CoRR (2020)
Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas
Information Assisted Dictionary Learning for fMRI Data Analysis. IEEE Access 8 (2020)
Feng Yin, Lishuo Pan, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo, Abdelhak M. Zoubir
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. IEEE Trans. Signal Process. 68 (2020)
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. CoRR (2020)
Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. CoRR (2020)
Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process. UAI (2020)
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Nonparametric Bayesian Deep Networks with Local Competition. ICML (2019)
Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis
Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net. ICONIP (3) (2019)
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. CoRR (2019)
Christos Chatzichristos, Michiel Vandecappelle, Eleftherios Kofidis, Sergios Theodoridis, Lieven De Lathauwer, Sabine Van Huffel
Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach. GlobalSIP (2019)
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Nonparametric Bayesian Deep Networks with Local Competition. CoRR (2018)
Youngjoo Seo, Manuel Morante, Yannis Kopsinis, Sergios Theodoridis
Unsupervised learning of the brain connectivity dynamic using residual D-net. CoRR (2018)
Christos Chatzichristos, Mike Davies, Javier Escudero, Eleftherios Kofidis, Sergios Theodoridis
Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. EUSIPCO (2018)
Dimitris Ampeliotis, Christos Mavrokefalidis, Kostas Berberidis, Sergios Theodoridis
Distributed Set-Theoretic Parameter Estimation in Networks with Ambiguous Measurements. SPAWC (2018)
Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. IEEE Trans. Signal Process. 66 (7) (2018)
Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. FUSION (2018)
Christos Chatzichristos, Eleftherios Kofidis, Sergios Theodoridis
PARAFAC2 and its block term decomposition analog for blind fMRI source unmixing. EUSIPCO (2017)
Sergios Theodoridis
A Message From the Outgoing Editor-in-Chief. IEEE Trans. Signal Process. 65 (24) (2017)
Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features. CoRR (2017)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising. IEEE Trans. Signal Process. 65 (16) (2017)
Manuel Morante Moreno, Yannis Kopsinis, Eleftherios Kofidis, Christos Chatzichristos, Sergios Theodoridis
Assisted dictionary learning for FMRI data analysis. ICASSP (2017)
Jorge Plata-Chaves, Alexander Bertrand, Marc Moonen, Sergios Theodoridis, Abdelhak M. Zoubir
Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges. IEEE J. Sel. Top. Signal Process. 11 (3) (2017)
Christos Chatzichristos, Eleftherios Kofidis, Yiannis Kopsinis, Manuel Morante Moreno, Sergios Theodoridis
Higher-Order Block Term Decomposition for Spatially Folded fMRI Data. LVA/ICA (2017)
Dimitris Ampeliotis, Christos Mavrokefalidis, Kostas Berberidis, Sergios Theodoridis
Adapt-Align-Combine for diffusion-based distributed dictionary learning. EUSIPCO (2016)
Christos Chatzichristos, Eleftherios Kofidis, Giannis Kopsinis, Sergios Theodoridis
Higher-Order Block Term Decomposition for Spatially Folded fMRI Data. CoRR (2016)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising. CoRR (2016)
Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
Efficient KLMS and KRLS algorithms: A random fourier feature perspective. SSP (2016)
Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective. CoRR (2016)
Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis
Iterative randomized robust linear regression. ICASSP (2015)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
Robust Linear Regression Analysis - A Greedy Approach. IEEE Trans. Signal Process. 63 (15) (2015)
Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis
An online algorithm for distributed dictionary learning. ICASSP (2015)
Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis, Leoni Evaggelatou-Dalla
Complex Support Vector Machines for Regression and Quaternary Classification. IEEE Trans. Neural Networks Learn. Syst. 26 (6) (2015)
Symeon Chouvardas, Michael Muma, Khadidja Hamaidi, Sergios Theodoridis, Abdelhak M. Zoubir
Distributed robust labeling of audio sources in heterogeneous wireless sensor networks. ICASSP (2015)
Aggelos Pikrakis, Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis
Pattern classification formulated as a missing data task: The audio genre classification case. ICASSP (2015)
Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis
Distributed robust subspace tracking. EUSIPCO (2015)
Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis
Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach. IEEE Trans. Signal Process. 63 (19) (2015)
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis
Greedy Sparsity-Promoting Algorithms for Distributed Learning. IEEE Trans. Signal Process. 63 (6) (2015)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
Robust regression in RKHS - An overview. EUSIPCO (2015)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Themelis
Robust Linear Regression Analysis - A Greedy Approach. CoRR (2014)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Themelis
Robust linear regression analysis - The greedy way. EUSIPCO (2014)
Yannis Kopsinis, Harris V. Georgiou, Sergios Theodoridis
FMRI unmixing via properly adjusted dictionary learning. EUSIPCO (2014)
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis
Greedy Sparsity-Promoting Algorithms for Distributed Learning. CoRR (2014)
Georgios Chrysochoidis, Georgios Kouroupetroglou, Sergios Theodoridis
Vibrato detection in Byzantine Chant Music. ISCCSP (2014)
Aggelos Pikrakis, Sergios Theodoridis
Speech-music discrimination: A deep learning perspective. EUSIPCO (2014)
Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis
Preamble-based channel estimation in single-relay networks using FBMC/OQAM. EURASIP J. Adv. Signal Process. 2014 (2014)
Yannis Kopsinis, Symeon Chouvardas, Sergios Theodoridis
Sparsity-aware learning in the context of echo cancelation: A set theoretic estimation approach. EUSIPCO (2014)
Symeon Chouvardas, Yannis Kopsinis, Sergios Theodoridis
An Adaptive Projected Subgradient based algorithm for robust subspace tracking. ICASSP (2014)
Christos Mavrokefalidis, Athanasios A. Rontogiannis, Eleftherios Kofidis, A. Beikos, Sergios Theodoridis
Efficient adaptive equalization of doubly dispersive channels in MIMO-FBMC/OQAM systems. ISWCS (2014)
Pantelis Bouboulis, Georgios K. Papageorgiou, Sergios Theodoridis
Robust image denoising in RKHS via orthogonal matching pursuit. CIP (2014)
Yong Lian, Sergios Theodoridis, George Yuan, Shanthi Pavan
Guest Editorial Special Section on the 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013). IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2014)
Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. IEEE Signal Process. Lett. 20 (7) (2013)
Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
New operators for fixed-point theory: The sparsity-aware learning case. EUSIPCO (2013)
Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Georgios B. Giannakis, Vassilis Kekatos
Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification. ISWCS (2013)
Eleftherios Kofidis, Dimitrios Katselis, Athanasios A. Rontogiannis, Sergios Theodoridis
Preamble-based Channel Estimation in OFDM/OQAM Systems: A Review CoRR (2013)
Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis
Optimal training design for channel estimation in OFDM/OQAM cooperative systems. SPAWC (2013)
Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Stephen McLaughlin
Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces. IEEE Trans. Signal Process. 61 (15) (2013)
Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis
Complex Support Vector Machines for Regression and Quaternary Classification CoRR (2013)
Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Stephen McLaughlin
Thresholding-based online algorithms of complexity comparable to sparse LMS methods. ISCAS (2013)
Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada
Introduction to the issue on adaptation and learning over complex networks. IEEE J. Sel. Top. Signal Process. 7 (2) (2013)
Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis
Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction. IEEE J. Sel. Top. Signal Process. 7 (2) (2013)
Pantelis Bouboulis, E. Theodoridou, Sergios Theodoridis
Complex support vector machines for quaternary classification. MLSP (2013)
Eleftherios Kofidis, Dimitrios Katselis, Athanasios A. Rontogiannis, Sergios Theodoridis
Preamble-based channel estimation in OFDM/OQAM systems: A review. Signal Process. 93 (7) (2013)
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis
A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks. ICASSP (2013)
Ali H. Sayed, Sergio Barbarossa, Sergios Theodoridis, Isao Yamada
Adaptation and Learning over Complex Networks [From the Guest Editors]. IEEE Signal Process. Mag. 30 (3) (2013)
Christos Mavrokefalidis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis
Preamble Design for Channel Estimation in OFDM/OQAM Cooperative Systems. ISWCS (2013)
Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis, Symeon Chouvardas
Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach. ALCOSP (2013)
Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, José C. Príncipe, Sergios Theodoridis
Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 30 (4) (2013)
Georgios K. Papageorgiou, Pantelis Bouboulis, Sergios Theodoridis
Robust kernel-based regression using Orthogonal Matching Pursuit. MLSP (2013)
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis, Sergios Theodoridis
Training-based and blind algorithms for sparsity-aware distributed learning. EUSIPCO (2013)
Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin
Generalized thresholding sparsity-aware algorithm for low complexity online learning. ICASSP (2012)
Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis
Complex support vector regression. CIP (2012)
Pantelis Bouboulis, Sergios Theodoridis, Michael E. Mavroforakis
The Augmented Complex Kernel LMS. IEEE Trans. Signal Process. 60 (9) (2012)
Constantinos Rizogiannis, Eleftherios Kofidis, Athanasios A. Rontogiannis, Sergios Theodoridis
Adaptive BLAST-type decision-feedback equalizers for DS-CDMA systems. Signal Process. 92 (4) (2012)
Pantelis Bouboulis, Konstantinos Slavakis, Sergios Theodoridis
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis
Sparsity-Aware Learning and Compressed Sensing: An Overview CoRR (2012)
Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
A Sparsity Promoting Adaptive Algorithm for Distributed Learning. IEEE Trans. Signal Process. 60 (10) (2012)
Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks. EUSIPCO (2012)

Sergios Theodoridis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sergios Theodoridis