Scholar
Andrzej Cichocki
Google Scholar ID: wpZDx1cAAAAJ
Systems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)
Biomedical Signal Processing
Neural Engineering
Tensor Decomposition
Analog_Electronics
BCI
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Citations & Impact
All-time
Citations
27,201
H-index
77
i10-index
335
Publications
20
Co-authors
77
list available
Publications
9 items
Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability
2026
Cited
0
Exponential-Family Tensor Completion via Nonconvex Dual Total-Variation Regularization
2026
Cited
0
Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks
2026
Cited
0
A New Tensor Network: Tubal Tensor Train and Its Applications
2026
Cited
0
Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning
2026
Cited
0
Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI
2025
Cited
0
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
2025
Cited
0
Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms
2025
Cited
0
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Resume
Academic Achievements
Academic Achievements:
- Google Scholar: citations: 63000; h-index: 115
- Scopus: citations: 32000; h-index: 88
- Web of Science: citations: 22000; h-index: 79
- Nominated by Web of Science (Clarivate) as Highly Cited Researcher in 2023, 2022 and 2021
Research Experience
Current Employment:
- Full Professor, Member of Laboratory of Intelligent Systems
- Systems Research Institute, Polish Academy of Sciences
Background
Professor, Ph.D., D.Sc, dr h.c.
Fellow of IEEE
Languages: Polish, English, German, Russian
Miscellany
Research Interests:
- Artificial intelligence and neural networks
- Signal and Image processing
- Brain computer interface (BCI) and human computer interactions (HCI)
- Tensor decomposition and tensor networks for biomedical applications
- Supervised and unsupervised learning algorithms
- Computational neuroscience
- Optimization
Co-authors
13 total
Qibin Zhao
RIKEN AIP
Rafal Zdunek
Politechnika Wrocławska
Guoxu Zhou
Guangdong University of Technology
Justin Dauwels
Delft University of Technology
Danilo Mandic
Prof. of Machine Intelligence, Dept of Electrical and Electronic Eng., Imperial College London, UK
Yu Zhang
Stanford University
Seungjin Choi
Research Director of Machine Learning Lab, Intellicode
Cesar F. Caiafa
Independent Researcher at CONICET - Adjunct Professor at University of Buenos Aires