Charilaos I. Kanatsoulis

Orcid: 0000-0002-0952-1561

According to our database1, Charilaos I. Kanatsoulis authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Network Alignment with Transferable Graph Autoencoders.
CoRR, 2023

Transferability of Convolutional Neural Networks in Stationary Learning Tasks.
CoRR, 2023

Solving Large-scale Spatial Problems with Convolutional Neural Networks.
CoRR, 2023

Space-Time Graph Neural Networks with Stochastic Graph Perturbations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Target Tracking with Transferable Convolutional Neural Networks.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach.
CoRR, 2022

Graph Neural Networks Are More Powerful Than we Think.
CoRR, 2022

GAGE: Geometry Preserving Attributed Graph Embeddings.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Space-Time Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach.
IEEE Trans. Signal Process., 2021

Prema: Principled Tensor Data Recovery From Multiple Aggregated Views.
IEEE J. Sel. Top. Signal Process., 2021

TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020
Tensor Completion From Regular Sub-Nyquist Samples.
IEEE Trans. Signal Process., 2020

Tendi: Tensor Disaggregation from Multiple Coarse Views.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.
IEEE Trans. Signal Process., 2019

Regular Sampling of Tensor Signals: Theory and Application to FMRI.
Proceedings of the IEEE International Conference on Acoustics, 2019

Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach.
IEEE Trans. Signal Process., 2018

Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015
Max-min feasible point pursuit for non-convex QCQP.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015


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