Charilaos I. Kanatsoulis

According to our database, Charilaos I. Kanatsoulis authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LoRTA: Low Rank Tensor Adaptation of Large Language Models.

Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro

CoRR, 2024

Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning.

Shreyas Muthusamy, Damian Owerko, Charilaos I. Kanatsoulis, Saurav Agarwal, Alejandro Ribeiro

CoRR, 2024

A Graph Autoencoder Approach to Crowdsourcing.

Panagiotis A. Traganitis, Charilaos I. Kanatsoulis

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Counting Graph Substructures with Graph Neural Networks.

Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Neural Networks are More Powerful than We Think.

Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Network Alignment with Transferable Graph Autoencoders.

Jiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro

CoRR, 2023

Transferability of Convolutional Neural Networks in Stationary Learning Tasks.

Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci Jr., Alejandro Ribeiro

CoRR, 2023

Space-Time Graph Neural Networks with Stochastic Graph Perturbations.

Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Target Tracking with Transferable Convolutional Neural Networks.

Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald J. Bucci, Alejandro Ribeiro

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Solving Large-Scale Spatial Problems with Convolutional Neural Networks.

Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

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

Damian Owerko, Charilaos I. Kanatsoulis, Alejandro Ribeiro, Donald J. Bucci Jr., Jennifer Bondarchuk

CoRR, 2022

GAGE: Geometry Preserving Attributed Graph Embeddings.

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

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.

Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Generalized Canonical Correlation Analysis: A Subspace Intersection Approach.

Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2021

Prema: Principled Tensor Data Recovery From Multiple Aggregated Views.

Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

IEEE J. Sel. Top. Signal Process., 2021

TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing.

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Tensor Completion From Regular Sub-Nyquist Samples.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya

IEEE Trans. Signal Process., 2020

Tendi: Tensor Disaggregation from Multiple Coarse Views.

Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Downlink Channel Feedback for FDD Massive MIMO Systems via Tensor Compression and Sampling.

Mohamed Salah Ibrahim, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong

IEEE Trans. Signal Process., 2019

Regular Sampling of Tensor Signals: Theory and Application to FMRI.

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu

Proceedings of the IEEE International Conference on Acoustics, 2019

Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling.

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma

IEEE Trans. Signal Process., 2018

Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hyperspectral Super-Resolution Via Coupled Tensor Factorization: Identifiability and Algorithms.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Wing-Kin Ma

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition.

Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015

Max-min feasible point pursuit for non-convex QCQP.

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015