A. Phan

发表

A tensorial approach to single trial recognition for Brain Computer Interface

Andrzej Cichocki, Anh Huy Phan, Thanh Vu-Dinh, 2010, The 2010 International Conference on Advanced Technologies for Communications.

Tensor decompositions for feature extraction and classification of high dimensional datasets

A. Cichocki, A. Phan, 2010 .

Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2012, Int. J. Neural Syst..

Block decomposition for very large-scale nonnegative tensor factorization

A. Cichocki, A. Phan, 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Flexible HALS algorithms for sparse non-negative matrix/tensor factorization

A. Cichocki, A. Phan, C. Caiafa, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Non-Orthogonal Tensor Diagonalization, a Tool for Block Tensor Decompositions

A. Cichocki, P. Tichavský, A. Phan, 2014 .

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Masashi Sugiyama, Andrzej Cichocki, Danilo P. Mandic, 2017, Found. Trends Mach. Learn..

An Analysis of Bayesian Bagging Prediction for Improving Generalization Performance

R. Zdunek, T. Furuhashi, A. Phan, 2010 .

1 Introduction – Problem Statements and Models

S. Amari, A. Phan, 2022 .

CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, IEEE Transactions on Signal Processing.

Stability analysis and fast damped-gauss-newton algorithm for INDSCAL tensor decomposition

P. Tichavský, Zbyněk Koldovský, A. Phan, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

TENSOR CLASSIFICATION FOR P 300-BASED BRAIN COMPUTER INTERFACE

A. Cichocki, K. Matsuoka, A. Phan, 2012 .

Nonsmooth optimization-based beamforming in multiuser wireless relay networks

H. D. Tuan, H. H. Kha, H. Tuan, 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

A. Cichocki, I. Oseledets, A. Phan, 2022, ArXiv.

Introduction – Problem Statements and Models

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Multi-Way Component Analysis for Structured Tensor Data: A Signal Processing Perspective

A. Cichocki, D. Mandic, Qianchuan Zhao, 2012 .

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, 2207.06072.

Alternating Least Squares and Related Algorithms for NMF and SCA Problems

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2009 .

Randomized algorithms for fast computation of low rank tensor ring model

Anh Huy Phan, Andrzej Cichocki, Salman Ahmadi-Asl, 2020, Mach. Learn. Sci. Technol..

Tensor diagonalization - a new tool for PARAFAC and block-term decomposition pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, ArXiv.

Coding of faces by tensor components

Anh Huy Phan, Andrzej Cichocki, Sidney R. Lehky, 2017 .

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, ArXiv.

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction

A. Cichocki, I. Oseledets, A. Phan, 2021, IEEE Access.

PARS: Proxy-Based Automatic Rank Selection for Neural Network Compression via Low-Rank Weight Approximation

A. Cichocki, A. Phan, Konstantin Sobolev, 2022, Mathematics.

Adaptive Rank Selection for Tensor Ring Decomposition

Andrzej Cichocki, Farnaz Sedighin, Anh-Huy Phan, 2021, IEEE Journal of Selected Topics in Signal Processing.

Damped Gauss-Newton algorithm for nonnegative Tucker decomposition

A. Cichocki, P. Tichavský, A. Phan, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, Signal Processing.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

A. Cichocki, I. Oseledets, A. Phan, 2022, NeurIPS.

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2014, IEEE Signal Processing Magazine.

Nonnegative Matrix and Tensor Factorization T

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2007 .

Face Representations via Tensorfaces of Various Complexities

Andrzej Cichocki, Anh Huy Phan, Sidney R. Lehky, 2019, Neural Computation.

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, Found. Trends Mach. Learn..

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1 pdf

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, ArXiv.

Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neurocomputing.

Non-orthogonal tensor diagonalization

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, Signal Process..

Cramér-Rao-Induced Bounds for CANDECOMP/PARAFAC Tensor Decomposition

Zbynek Koldovský, Anh Huy Phan, Petr Tichavský, 2012, IEEE Transactions on Signal Processing.

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition

Andrzej Cichocki, Danilo P. Mandic, Ivan Oseledets, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, IEEE Transactions on Signal Processing.

A greedy algorithm for model selection of tensor decompositions

Andrzej Cichocki, Austin J. Brockmeier, José Carlos Príncipe, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fast nonnegative tensor factorization for very large-scale problems using two-stage procedure

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound

Andrzej Cichocki, Anh-Huy Phan, Petr Tichavský, 2019, IEEE Transactions on Signal Processing.

Error Preserving Correction for CPD and Bounded-Norm CPD pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, ArXiv.

Tensor Decompositions for Very Large Scale Problems

A. Cichocki, A. Phan, Andrzej CICHOCKI, 2010 .

Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection

A. Cichocki, A. Phan, C. Caiafa, 2023, 2305.00749.

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD) pdf

Toshihisa Tanaka, Anh Huy Phan, Andrzej Cichocki, 2020, IEEE Access.

Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, SIAM J. Matrix Anal. Appl..

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

Andrzej Cichocki, Ivan Oseledets, Konstantin Sozykin, 2020, ECCV.

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tensor completion throughmultiple Kronecker product decomposition

Andrzej Cichocki, Austin J. Brockmeier, Anh Huy Phan, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2008, Computer.

Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices

Andrzej Cichocki, Petr Tichavský, Konstantin Sozykin, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Best Rank-One Tensor Approximation and Parallel Update Algorithm for CPD pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, ArXiv.

Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, IEEE Signal Processing Letters.

Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, ArXiv.

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neural Computing and Applications.

Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

PARAFAC algorithms for large-scale problems

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neurocomputing.

Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2010, ICONIP.

How to Train Unstable Looped Tensor Network

A. Cichocki, P. Tichavský, A. Phan, 2022, ArXiv.

Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition

A. Cichocki, D. Mandic, A. Phan, 2017, Neural Computing and Applications.

Tensor Deflation for CANDECOMP/PARAFAC— Part I: Alternating Subspace Update Algorithm

Andrzej Cichocki, Petr Tichavsky, Anh-Huy Phan, 2015, IEEE Transactions on Signal Processing.

Tensor classification for P300-based brain computer interface

Andrzej Cichocki, Anh Huy Phan, Kiyotoshi Matsuoka, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Novel approach for multidimensional data reconstruction and compression

A. Cichocki, A.H. Phan, K.S. Nguyen, 2008, 2008 International Conference on Advanced Technologies for Communications.

Data augmentation for Convolutional LSTM based brain computer interface system

A. Cichocki, Qibin Zhao, A. Phan, 2022, Appl. Soft Comput..

From basis components to complex structural patterns

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A treatment of EEG data by underdetermined blind source separation for motor imagery classification

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection

A. Cichocki, A. Phan, C. Caiafa, 2023, ArXiv.

Under-Determined tensor diagonalization for decomposition of difficult tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

A. Cichocki, A. Phan, 2012, Neural Computing and Applications.

Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions

Andrzej Cichocki, Petr Tichavský, Anh-Huy Phan, 2021, IEEE Journal of Selected Topics in Signal Processing.

Numerical CP decomposition of some difficult tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, J. Comput. Appl. Math..

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2012, LVA/ICA.

Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation

Danilo P Mandic, Andrzej Cichocki, George Luta, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Inexact higher-order proximal algorithms for tensor factorization

A. Phan, A. Ang, V. Leplat, 2023, 2023 IEEE Statistical Signal Processing Workshop (SSP).

Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering

Fengyu Cong, Andrzej Cichocki, Anh Huy Phan, 2016, ICONIP.

GNMF with Newton-Based Methods

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2013, ICANN.

Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2013, Int. J. Neural Syst..

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, LVA/ICA.

Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition pdf

Andrzej Cichocki, Danilo P. Mandic, André Uschmajew, 2016, ArXiv.

Rank Splitting for CANDECOMP/PARAFAC

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, LVA/ICA.

Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis

Andrzej Cichocki, Petr Tichavsky, Anh-Huy Phan, 2015, IEEE Transactions on Signal Processing.

Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, ArXiv.

Low rank tensor deconvolution

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deflation method for CANDECOMP/PARAFAC tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Fast algorithms for orthogonal Tucker decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, LVA/ICA.

Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, ISNN.

Damped Newton Iterations for Nonnegative Matrix Factorization

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2010, Aust. J. Intell. Inf. Process. Syst..

Analysis of Interactions Among Hidden Components for Tucker Model

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009 .

Local Learning Rules for Nonnegative Tucker Decomposition

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, ICONIP.

Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation

Liqing Zhang, Andrzej Cichocki, Anh Huy Phan, 2007, ICONIP.

Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint

Andrzej Cichocki, Alexander Panchenko, Igor Vorona, 2021, FINDINGS.

Fast cross tensor approximation for image and video completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2023, Signal Process..

Image Reconstruction using Superpixel Clustering and Tensor Completion

Maame G. Asante-Mensah, A. Cichocki, A. Phan, 2023, Signal Process..

Graph Convolutional Neural Networks for analysis of EEG signals, BCI application

Anh Huy Phan, Mirfarid Musavian Ghazani, A. Phan, 2020, 2006.14540.

Biomarkers of professional cybersportsmen: Event related potentials and cognitive tests study

A. Cichocki, A. Phan, Andrei Znobishchev, 2023, PloS one.

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Tomasz M. Rutkowski, A. Cichocki, Liqing Zhang, 2008, Computer.

Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition

Andrzej Cichocki, Petr Tichavsky, A. H. Phan, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quasi‐Newton Algorithms for Nonnegative Matrix Factorization

S. Amari, A. Cichocki, R. Zdunek, 2009 .

An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4

Andrzej Cichocki, Anh Huy Phan, Masao Yamagishi, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2012, LVA/ICA.

Sensitivity in Tensor Decomposition

Andrzej Cichocki, Anh-Huy Phan, Petr Tichavsky, 2019, IEEE Signal Processing Letters.