Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia. - Kriton Konstantinidis; Emery N. Brown (BIBE, 2019)

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. - Alexandros Haliassos; Kriton Konstantinidis; Danilo P. Mandic (CoRR, 2020)

Multi-Graph Tensor Networks. - Yao Lei Xu; Kriton Konstantinidis; Danilo P. Mandic (CoRR, 2020)

Kernel Learning with Tensor Networks. - Kriton Konstantinidis; Shengxi Li; Danilo P. Mandic (ICASSP, 2021)

Tensor Networks for Multi-Modal Non-Euclidean Data. - Yao Lei Xu; Kriton Konstantinidis; Danilo P. Mandic (CoRR, 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)

Variational Bayesian Tensor Networks with Structured Posteriors. - Kriton Konstantinidis; Yao Lei Xu; Qibin Zhao; Danilo P. Mandic (ICASSP, 2022)

Low-Complexity Attention Modelling via Graph Tensor Networks. - Yao Lei Xu; Kriton Konstantinidis; Shengxi Li; Ljubisa Stankovic; Danilo P. Mandic (ICASSP, 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)

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)

Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. - Alexandros Haliassos; Kriton Konstantinidis; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2022)

Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. - Aaman Rebello; Kriton Konstantinidis; Yao Lei Xu; Danilo P. Mandic (ICASSP, 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)

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., 2023)

Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach. - Wuyang Zhou; Giorgos Iacovides; Kriton Konstantinidis; Ilya Kisil; Danilo P. Mandic (CoRR, 2025)