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2020 – today
- 2023
[j3]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): 1404-1429 (2023)- [c5]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: 1-5 - [i6]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 abs/2303.13565 (2023) - 2022
- [j2]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): 63-70 (2022) - [j1]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): 5162-5176 (2022) - [c4]Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic:
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP 2022: 3638-3642 - [c3]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - [i5]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR abs/2211.05581 (2022) - 2021
- [c2]Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic:
Kernel Learning with Tensor Networks. ICASSP 2021: 2920-2924 - [i4]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR abs/2103.14998 (2021) - [i3]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR abs/2109.00626 (2021) - 2020
- [i2]Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. CoRR abs/2001.10109 (2020) - [i1]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Multi-Graph Tensor Networks. CoRR abs/2010.13209 (2020)
2010 – 2019
- 2019
- [c1]Kriton Konstantinidis, Emery N. Brown:
Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia. BIBE 2019: 382-385
Coauthor Index
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