Charilaos I. Kanatsoulis

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Canonical Correlation Analysis

Tensor Factorization

Top Venues

IEEE Trans. Signal Process.

Publications

Charilaos I. Kanatsoulis, Alejandro Ribeiro
Graph Neural Networks are More Powerful than We Think. ICASSP (2024)
Charilaos I. Kanatsoulis, Alejandro Ribeiro
Counting Graph Substructures with Graph Neural Networks. ICLR (2024)
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci, Alejandro Ribeiro
Multi-Target Tracking with Transferable Convolutional Neural Networks. CAMSAP (2023)
Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Solving Large-Scale Spatial Problems with Convolutional Neural Networks. ACSSC (2023)
Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Network Alignment with Transferable Graph Autoencoders. CoRR (2023)
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Space-Time Graph Neural Networks with Stochastic Graph Perturbations. ICASSP (2023)
Damian Owerko, Charilaos I. Kanatsoulis, Charilaos I. Kanatsoulis
Solving Large-scale Spatial Problems with Convolutional Neural Networks. CoRR (2023)
Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci Jr., Alejandro Ribeiro
Transferability of Convolutional Neural Networks in Stationary Learning Tasks. CoRR (2023)
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Space-Time Graph Neural Networks with Stochastic Graph Perturbations. CoRR (2022)
Charilaos I. Kanatsoulis, Alejandro Ribeiro
Graph Neural Networks Are More Powerful Than we Think. CoRR (2022)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
GAGE: Geometry Preserving Attributed Graph Embeddings. WSDM (2022)
Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro, Donald J. Bucci Jr., Jennifer Bondarchuk
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. CoRR (2022)
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Space-Time Graph Neural Networks. ICLR (2022)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. SDM (2021)
Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
Space-Time Graph Neural Networks. CoRR (2021)
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. IEEE Trans. Signal Process. 69 (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)
Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling. ACSSC (2020)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. 68 (2020)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Tendi: Tensor Disaggregation from Multiple Coarse Views. PAKDD (2) (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)
Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. CoRR (2020)
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views. CoRR (2019)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling. EUSIPCO (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)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu
Regular Sampling of Tensor Signals: Theory and Application to FMRI. ICASSP (2019)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. ICASSP (2018)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. CoRR (2018)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms. ICASSP (2018)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure. ICIP (2018)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach. IEEE Trans. Signal Process. 66 (24) (2018)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Max-min feasible point pursuit for non-convex QCQP. ACSSC (2015)