Kriton Konstantinidis

According to our database, Kriton Konstantinidis authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs.

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

Neural Comput., August, 2023

Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains.

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

CoRR, 2023

Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning.

Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach.

Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic

IEEE Trans. Neural Networks Learn. Syst., 2022

Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks].

Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic

IEEE Signal Process. Mag., 2022

Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling.

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

CoRR, 2022

Low-Complexity Attention Modelling via Graph Tensor Networks.

Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2022

Variational Bayesian Tensor Networks with Structured Posteriors.

Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks.

Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic

CoRR, 2021

Tensor Networks for Multi-Modal Non-Euclidean Data.

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

CoRR, 2021

Kernel Learning with Tensor Networks.

Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multi-Graph Tensor Networks.

Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic

CoRR, 2020

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition.

Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic

CoRR, 2020

2019

Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia.

Kriton Konstantinidis, Emery N. Brown

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019