Kriton Konstantinidis

15 papers C 1Misc 4Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach. CoRR Wuyang Zhou, Giorgos Iacovides, Kriton Konstantinidis, Ilya Kisil, Danilo P. Mandic
2023	J	`jnl`	Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2023	J	`jnl`	Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2023	Misc	`conf`	Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2022	J	`jnl`	Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2022	J	`jnl`	Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2022	Misc	`conf`	Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic
2022	J	`jnl`	Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. IEEE Trans. Neural Networks Learn. Syst. Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
2022	Misc	`conf`	Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic
2021	Misc	`conf`	Kernel Learning with Tensor Networks. ICASSP Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic
2021	J	`jnl`	Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
2021	J	`jnl`	Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2020	J	`jnl`	Multi-Graph Tensor Networks. CoRR Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
2020	J	`jnl`	Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. CoRR Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
2019	C	`conf`	Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia. BIBE Kriton Konstantinidis, Emery N. Brown