Nicholas D. Sidiropoulos

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 224

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

ACSSC

Publications

Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny
Correction to: TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 33 (1) (2024)
Mohamed Salah Ibrahim, Paris A. Karakasis, Nicholas D. Sidiropoulos
A Link Between Multiuser MMSE and Canonical Correlation Analysis. IEEE Wirel. Commun. Lett. 13 (1) (2024)
Paris A. Karakasis, Nicholas D. Sidiropoulos
Revisiting Deep Generalized Canonical Correlation Analysis. IEEE Trans. Signal Process. 71 (2023)
Paris A. Karakasis, Nicholas D. Sidiropoulos
Clustering on the Stiefel Manifold with Symmetric Block Term Decomposition. CAMSAP (2023)
Magda Amiridi, Cheng Qian, Nicholas D. Sidiropoulos, Lucas M. Glass
Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools. ICASSP (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. ISIT (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. CoRR (2023)
Mikael Sørensen, Nicholas D. Sidiropoulos
Radio-Astronomy Imaging and Interference Excision Using Tensor Decomposition and Canonical Correlation Analysis. ICASSP (2023)
Paris A. Karakasis, Nicholas D. Sidiropoulos
Revisiting Deep Generalized Canonical Correlation Analysis. CoRR (2023)
Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM (2023)
Spyridon Peppas, Paris A. Karakasis, Nicholas D. Sidiropoulos, Danijela Cabric
Harnessing the Power of Repetition Structure in Ultra-Narrowband IoT. SPAWC (2023)
Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosini Papadaki
Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis. IEEE Trans. Image Process. 31 (2022)
Nicholas D. Sidiropoulos, Mikael Sørensen
Canonical Identification of Autoregressive Nonlinear Systems. IEEECONF (2022)
Mikael Sørensen, Nicholas D. Sidiropoulos, Ananthram Swami
Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms. IEEE Trans. Signal Process. 70 (2022)
Aritra Konar, Nicholas D. Sidiropoulos
The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization. AAAI (2022)
Ruiyuan Wu, Wing-Kin Ma, Yuening Li, Anthony Man-Cho So, Nicholas D. Sidiropoulos
Probabilistic Simplex Component Analysis. IEEE Trans. Signal Process. 70 (2022)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
GAGE: Geometry Preserving Attributed Graph Embeddings. WSDM (2022)
Mikael Sørensen, Nicholas D. Sidiropoulos
Identifiability Results for Nonuniform Linear and Rectangular Sensor Arrays. EUSIPCO (2022)
Magda Amiridi, Nicholas D. Sidiropoulos
Learning Multivariate CDFs and Copulas using Tensor Factorization. CoRR (2022)
Aritra Konar, Nicholas D. Sidiropoulos
Graph Matching Via the Lens of Supermodularity. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. IEEE Trans. Signal Process. 70 (2022)
Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
Large Scale Tensor Factorization via Parallel Sketches. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Mohamed Salah Ibrahim, Ahmed Hussain, Nicholas D. Sidiropoulos
A Novel Linear Precoder Design for Reliable UL/DL Detection in TDD Cellular Networks. IEEE Trans. Commun. 70 (12) (2022)
Ahmed Hussain, Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Unsupervised Detection via Artificial Dual-Path Transmission. IEEECONF (2022)
Nicholas D. Sidiropoulos, Paris A. Karakasis, Aritra Konar
Finding the smallest or largest element of a tensor from its low-rank factors. CoRR (2022)
Mohamed Salah Ibrahim, Paris A. Karakasis, Nicholas D. Sidiropoulos
A Simple and Practical Underlay Scheme for Short-Range Secondary Communication. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations. IEEE Trans. Signal Process. 70 (2022)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay via Canonical Correlation Analysis. ICASSP (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR (2021)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. SDM (2021)
Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low, Nicholas D. Sidiropoulos
Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections. IEEE Trans. Smart Grid 12 (4) (2021)
Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
eTREE: Learning Tree-structured Embeddings. AAAI (2021)
Aritra Konar, Nicholas D. Sidiropoulos
Exploring the Subgraph Density-Size Trade-off via the Lovász Extension. CoRR (2021)
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI (2021)
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Paris A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos
Joint Graph Embedding and Alignment with Spectral Pivot. KDD (2021)
Nikos Kargas, Nicholas D. Sidiropoulos
Supervised Learning and Canonical Decomposition of Multivariate Functions. IEEE Trans. Signal Process. 69 (2021)
Aritra Konar, Nicholas D. Sidiropoulos
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension. WSDM (2021)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Secure Low-power IoT Uplink Communication via Unsupervised Signal Alignment. SPAWC (2021)
Yuening Li, Wing-Kin Ma, Nicholas D. Sidiropoulos
Robust Probabilistic Simplex Component Analysis. SSP (2021)
Mohamed Salah Ibrahim, Saeed R. Khosravirad, Jakub Mazgula, Harish Viswanathan, Nicholas D. Sidiropoulos
Beam Selection for Ultra-Reliable Low-Latency Communication in Industrial Environment with Beamforming Repeaters. ICC Workshops (2021)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity. IEEE Trans. Signal Process. 69 (2021)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. CoRR (2021)
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. IEEE Trans. Signal Process. 69 (2021)
Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar, Nicholas D. Sidiropoulos
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation. IEEE Trans. Wirel. Commun. 20 (11) (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI (2021)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Prema: Principled Tensor Data Recovery From Multiple Aggregated Views. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Faisal M. Almutairi, Nicholas D. Sidiropoulos, Bo Yang
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering. CIKM (2021)
Zack W. Almquist, Tri Duc Nguyen, Mikael Sørensen, Xiao Fu, Nicholas D. Sidiropoulos
Uncovering migration systems through spatio-temporal tensor co-clustering. CoRR (2021)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Reliable Detection of Unknown Cell-Edge Users via Canonical Correlation Analysis. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling. ACSSC (2020)
Aritra Konar, Nicholas D. Sidiropoulos
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods. KDD (2020)
Mohamed Salah Ibrahim, Aritra Konar, Nicholas D. Sidiropoulos
Fast Algorithms for Joint Multicast Beamforming and Antenna Selection in Massive MIMO. IEEE Trans. Signal Process. 68 (2020)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity. CoRR (2020)
Nikos Kargas, Nicholas D. Sidiropoulos
Supervised Learning via Ensemble Tensor Completion. ACSSC (2020)
Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation. CoRR (2020)
Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
eTREE: Learning Tree-structured Embeddings. CoRR (2020)
Yanning Shen, Xiao Fu, Georgios B. Giannakis, Nicholas D. Sidiropoulos
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny
TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 29 (5) (2020)
Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
Phased: Phase-Aware Submodularity-Based Energy Disaggregation. NILM@SenSys (2020)
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
GRATE: Granular Recovery of Aggregated Tensor Data by Example. CoRR (2020)
Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki
. EMBC (2020)
Bo Yang, Kejun Huang, Nicholas D. Sidiropoulos
Identifying Potential Investors with Data Driven Approaches. SDM (2020)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. CoRR (2020)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. IEEE Trans. Signal Process. 68 (2020)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis. CoRR (2020)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. 68 (2020)
Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki
Multi-subject Resting-State fMRI Data Analysis via Generalized Canonical Correlation Analysis. EUSIPCO (2020)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Tendi: Tensor Disaggregation from Multiple Coarse Views. PAKDD (2) (2020)
Nikos Kargas, Nicholas D. Sidiropoulos
Nonlinear System Identification via Tensor Completion. AAAI (2020)
Aritra Konar, Nicholas D. Sidiropoulos
Soft Graph Matching: Submodular Relaxation and Lovász Extension. ICDM (2020)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
GAGE: Geometry Preserving Attributed Graph Embeddings. CoRR (2020)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. CoRR (2020)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Delay-locking: Unraveling Multiple Unknown Signals in Unknown Multipath. SPAWC (2020)
Mikael Sørensen, Nicholas D. Sidiropoulos
Multi-Set Low-Rank Factorizations With Shared and Unshared Components. IEEE Trans. Signal Process. 68 (2020)
Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Mapping. IEEE Trans. Computational Imaging 6 (2020)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Weak Target Detection in MIMO Radar via Beamspace Canonical Correlation. SAM (2020)
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR (2020)
Aritra Konar, Nicholas D. Sidiropoulos
Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods. CoRR (2020)
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. CoRR (2020)
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
Energy Storage Management via Deep Q-Networks. CoRR (2019)
Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar
Machine Learning in the Air. IEEE J. Sel. Areas Commun. 37 (10) (2019)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Statistical Learning Using Hierarchical Modeling of Probability Tensors. DSW (2019)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications. IEEE Signal Process. Mag. 36 (2) (2019)
David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I. IEEE J. Sel. Areas Commun. 37 (10) (2019)
Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos
Cell-edge Interferometry: Reliable Detection of Unknown Cell-edge Users via Canonical Correlation Analysis. SPAWC (2019)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views. CoRR (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Learning Nonlinear Mixtures: Identifiability and Algorithm. CoRR (2019)
Aritra Konar, Nicholas D. Sidiropoulos
Fast Optimization of Boolean Quadratic Functions via Iterative Submodular Approximation and Max-flow. ICASSP (2019)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling. EUSIPCO (2019)
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm. ACSSC (2019)
Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad
From Gene Expression to Drug Response: A Collaborative Filtering Approach. ICASSP (2019)
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
Anchor-Free Correlated Topic Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
REP: Predicting the Time-Course of Drug Sensitivity. CoRR (2019)
Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. IEEE Trans. Signal Process. 67 (2) (2019)
Nikos Kargas, Nicholas D. Sidiropoulos
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. CoRR (2019)
Ahmed S. Zamzam, Nicholas D. Sidiropoulos
Physics-Aware Neural Networks for Distribution System State Estimation. CoRR (2019)
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
A Simple Algebraic Channel Estimation Method for FDD Massive MIMO Systems. SPAWC (2019)
Nikolaos Kargas, Nicholas D. Sidiropoulos
Nonlinear System Identification via Tensor Completion. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicholas D. Sidiropoulos