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Charilaos Kanatsoulis
Charilaos Kanatsoulis
Research Associate, Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Hyperspectral super-resolution: A coupled tensor factorization approach
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
IEEE Transactions on Signal Processing 66 (24), 6503-6517, 2018
1982018
Tensor completion from regular sub-Nyquist samples
CI Kanatsoulis, X Fu, ND Sidiropoulos, M Akçakaya
IEEE Transactions on Signal Processing 68, 1-16, 2019
522019
Structured SUMCOR multiview canonical correlation analysis for large-scale data
CI Kanatsoulis, X Fu, ND Sidiropoulos, M Hong
IEEE Transactions on Signal Processing 67 (2), 306-319, 2018
392018
Generalized canonical correlation analysis: A subspace intersection approach
M Sørensen, CI Kanatsoulis, ND Sidiropoulos
IEEE Transactions on Signal Processing 69, 2452-2467, 2021
302021
Hyperspectral super-resolution: Combining low rank tensor and matrix structure
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
2018 25th IEEE International Conference on Image Processing (ICIP), 3318-3322, 2018
272018
Hyperspectral super-resolution via coupled tensor factorization: Identifiability and algorithms
CI Kanatsoulis, X Fu, ND Sidiropoulos, WK Ma
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
262018
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
CI Kanatsoulis, ND Sidiropoulos
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
182021
Space-time graph neural networks
S Hadou, CI Kanatsoulis, A Ribeiro
arXiv preprint arXiv:2110.02880, 2021
172021
Regular sampling of tensor signals: Theory and application to fMRI
CI Kanatsoulis, ND Sidiropoulos, M Akçakaya, X Fu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
142019
Graph neural networks are more powerful than we think
CI Kanatsoulis, A Ribeiro
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
112024
Prema: Principled Tensor Data Recovery From Multiple Aggregated Views
FM Almutairi, CI Kanatsoulis, ND Sidiropoulos
IEEE Journal of Selected Topics in Signal Processing 15 (3), 535-549, 2021
102021
Tendi: Tensor disaggregation from multiple coarse views
FM Almutairi, CI Kanatsoulis, ND Sidiropoulos
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020
82020
Large-scale canonical polyadic decomposition via regular tensor sampling
CI Kanatsoulis, ND Sidiropoulos
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
82019
Space-time graph neural networks with stochastic graph perturbations
S Hadou, CI Kanatsoulis, A Ribeiro
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
42023
Multi-Target Tracking with Transferable Convolutional Neural Networks
D Owerko, CI Kanatsoulis, J Bondarchuk, DJ Bucci, A Ribeiro
2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023
22023
Network Alignment with Transferable Graph Autoencoders
J He, CI Kanatsoulis, A Ribeiro
arXiv preprint arXiv:2310.03272, 2023
22023
Gage: Geometry preserving attributed graph embeddings
CI Kanatsoulis, ND Sidiropoulos
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
22022
Solving Large-scale Spatial Problems with Convolutional Neural Networks
D Owerko, CI Kanatsoulis, A Ribeiro
2023 57th Asilomar Conference on Signals, Systems, and Computers, 1064-1069, 2023
12023
Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis
CI Kanatsoulis, A Ribeiro
arXiv preprint arXiv:2205.09801, 2022
12022
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach.
D Owerko, C Kanatsoulis, A Ribeiro, DJ Bucci Jr, J Bondarchuk
arXiv preprint arXiv:2210.15539, 2022
12022
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