Kriton Konstantinidis

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Supervised Learning

Frequent Subsequences

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP (2023)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR (2023)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. 35 (8) (2023)
Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. 39 (5) (2022)
Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP (2022)
Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP (2022)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR (2022)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR (2021)
Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR (2021)
Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic
Kernel Learning with Tensor Networks. ICASSP (2021)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
Multi-Graph Tensor Networks. CoRR (2020)
Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. CoRR (2020)
Kriton Konstantinidis, Emery N. Brown
Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia. BIBE (2019)