Ilia Kisil

According to our database, Ilia Kisil authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2021

HOTTBOX: Higher Order Tensor ToolBOX.

Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, 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

2020

Demystifying the Coherence Index in Compressive Sensing [Lecture Notes].

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil

IEEE Signal Process. Mag., 2020

2019

Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes].

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilia Kisil, Ervin Sejdic, Anthony G. Constantinides

IEEE Signal Process. Mag., 2019

A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression.

Alexander E. Stott, Bruno Scalzo Dees, Ilia Kisil, Danilo P. Mandic

Signal Process., 2019

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing.

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil

CoRR, 2019

Tensor Decompositions and Practical Applications: A Hands-on Tutorial.

Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic

Proceedings of the Recent Trends in Learning From Data, 2019

2018

Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm.

Ahmad Moniri, Ilia Kisil, Anthony G. Constantinides, Danilo P. Mandic

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?

Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Tensor Ensemble Learning for Multidimensional Data.

Ilia Kisil, Ahmad Moniri, Danilo P. Mandic

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Feature Fusion via Tensor Network Summation.

Giuseppe Giovanni Calvi, Ilia Kisil, Danilo P. Mandic

Proceedings of the 26th European Signal Processing Conference, 2018