Giuseppe Giovanni Calvi

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 15

Top Topics

Recurrent Neural Networks

Tensor Decomposition

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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, Giuseppe Giovanni Calvi, Danilo P. Mandic
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN (2021)
Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic
HOTTBOX: Higher Order Tensor ToolBOX. CoRR (2021)
Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. 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)
Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic
A lower bound on the tensor rank based on its maximally square matrix unfolding. Signal Process. 180 (2021)
Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR (2019)
Giuseppe Giovanni Calvi, Vladimir Lucic, Danilo P. Mandic
Support Tensor Machine for Financial Forecasting. ICASSP (2019)
Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic
Tensor Decompositions and Practical Applications: A Hands-on Tutorial. INNSBDDL (Tutorials) (2019)
Giuseppe Giovanni Calvi, Ilia Kisil, Danilo P. Mandic
Feature Fusion via Tensor Network Summation. EUSIPCO (2018)
Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR (2018)
Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP (2018)
Athanasios Konstantinidis, Bruno Scalzo Dees, Giuseppe Giovanni Calvi, Danilo P. Mandic
Text Mining - A Key Lynchpin in the Investment Process: A Survey. APPIS (2018)
Alicia Carrion Garcia, Theerasak Chanwimalueang, Giuseppe Giovanni Calvi, Apit Hemakom, Ramón Miralles Ricós, Danilo P. Mandic
Modelling economic stress through financial systemic balance index. DSP (2016)