Andrzej Cichocki

发表

Enhancement of a Speech Signal Embedded in Noisy Environment Using Two Microphones

Allan Kardec Barros, Hideki Kawahara, Noboru Ohnishi, 2000 .

Dual cascade networks for blind signal extraction

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation

Yong Peng, Jianhai Zhang, Andrzej Cichocki, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SPEECH ENHANCEMENT FROM INTERFERING SOUNDS USING CASA TECHNIQUES AND BLIND SOURCE SEPARATION

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2001 .

Multichannel blind deconvolution of non-minimum phase systems using information backpropagation

Andrzej Cichocki, Liqing Zhang, S. Amari, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

A hybrid learning approach to blind deconvolution of MIMO systems

Seungjin Choi, Andrzej Cichocki, Andrzej Cichocki, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

COMBINING BLIND SOURCE EXTRACTION WITH JOINT APPROXIMATE DIAGONALIZATION: THIN ALGORITHMS FOR ICA

Sergio Cruces, Andrzej Cichocki, Camino Descubrimientos, 2003 .

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification

Wanzeng Kong, Jianhai Zhang, Andrzej Cichocki, 2020, Appl. Soft Comput..

Kalman filter and state-space approach to blind deconvolution

Shun-ichi Amari, Andrzej Cichocki, L.-Q. Zhang, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets, 2020, NeurIPS.

Sequential blind signal extraction in order specified by stochastic properties

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1997 .

Natural gradient learning for second-order nonstationary source separation

Shun-ichi Amari, Seungjin Choi, Andrzej Cichocki, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Comparison of ICA/BSS algorithms for noisy data

Shun-ichi Amari, Seungjin Choi, Soo-Young Lee, 2000 .

On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach

Shun-ichi Amari, Andrzej Cichocki, B. Orsier, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Towards Understanding Normalization in Neural ODEs pdf

Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets, 2020, ICLR 2020.

AN ONLINE ALGORITHM FOR BLIND EXTRACTION OF SOURCES WITH DIFFERENT DYNAMICAL STRUCTURES

Danilo P. Mandic, Andrzej Cichocki, A. Cichocki, 2003 .

Bias removal technique for blind source separation with noisy measurements

Andrzej Cichocki, Scott C. Douglas, S. Amari, 1998 .

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

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

Integrated extension board for on-board computer (OBDH) of SSETI ESEO satellite

Andrzej Cichocki, Rafal Graczyk, 2007, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Signals : A Neural Network Approach (Special Section on Nonlinear Theory and Its Applications)

Ruck Thawonmas, Andrzej Cichocki, A. Cichocki, 1999 .

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.

Optimization Algorithms for Sparse Representations and Applications. In: Proc. of Multiscale Optimization Methods

Fabian J. Theis, Andrzej Cichocki, Pando Georgiev, 2004 .

Robust Independent Component Analysis via Time-Delayed Cumulant Functions

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Blind source extraction in Gaussian noise

Sergio Cruces, Andrzej Cichocki, Luis Castedo, 2000 .

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).

Adaptive blind signal processing-neural network approaches

Shun-ichi Amari, Andrzej Cichocki, S. Amari, 1998, Proc. IEEE.

Self-Scaling and Self-Adaptive Compact Time-Delay Neural Network for Dynamical Nonlinear and Nonstationary System Identification

Jianting Cao, Andrzej Cichocki, Shoji Tanaka, 2000 .

A COMBINED CASCADING SUBSPACE AND ADAPTIVE SIGNAL ENHANCEMENT METHOD FOR STEREOPHONIC NOISE REDUCTION

Andrzej Cichocki, Jonathon A. Chambers, Takahiro Murakami, 2003 .

Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction

Qiquan Shi, Andrzej Cichocki, Tatsuya Yokota, 2020, IEEE Signal Processing Letters.

Improving EEG Decoding via Clustering-Based Multitask Feature Learning pdf

Andrzej Cichocki, Yu Zhang, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Comparison of Independent Component Analysis and Blind Source Separation Algorithms for Noisy Data

Andrzej Cichocki, O Sang-Hun, Seung-Jin Choe, 2002 .

Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior

Hidekata Hontani, Andrzej Cichocki, Qibin Zhao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA

Andrzej Cichocki, Qianqian Liu, Yong Jiao, 2020, Neurocomputing.

Convergence Analysis of Local Algorithms for Blind Decorrelation

Andrzej Cichocki, Scott C. Douglas, S. Douglas, 1996, NIPS 1996.

Adaptive approach to blind source separation with cancellation of additive and convolutional noise

Shun-ichi Amari, Andrzej Cichocki, Włodzimierz Kasprzak, 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).

Multi-Layer Neural Networks with a Local Adaptive Learning Rule for Blind Separation of Source Signa

Shun-ichi Amari, Andrzej Cichocki, Włodzimierz Kasprzak, 1995 .

SPEECH EXTRACTION FROM INTERFERENCES IN REAL ENVIRONMENT USING BANK OF FILTERS AND BLIND SOURCE SEPARATION

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2000 .

Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule

Shun-ichi Amari, Seungjin Choi, Andrzej Cichocki, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Unity-gain cumulant-based adaptive line enhancer

Tadakuni Murai, Andrzej Cichocki, R. R. Gharieb, 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

Interpolated Adjoint Method for Neural ODEs pdf

Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets, 2020, ArXiv.

Blind separation of nonstationary and temporally correlated sources from noisy mixtures

Seungjin Choi, Andrzej Cichocki, Seungjin Choi, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Randomized algorithms for fast computation of low rank tensor ring model

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

Artificial neural networks for real-time estimation of basic waveforms of voltages and currents

Andrzej Cichocki, T. Lobos, 1993 .

Neural Network Models for Blind Separation of Time Delayed and Convolved Signals

Shun-ichi Amari, Jianting Cao, Andrzej Cichocki, 1997 .

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

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

Hybrid learning approach to blind deconvolution of linear MIMO systems

Seungjin Choi, Andrzej Cichocki, A. Cichocki, 1999 .

Multiway Array Decomposition Analysis for Classification of Alzheimer’s Disease

Jaeseung Jeong, Andrzej Cichocki, Latchoumane C.-F.V., 2010 .

A blind extraction of temporally correlated but statistically dependent acoustic signals

Allan Kardec Barros, Sang-Hoon Oh, Tomasz M. Rutkowski, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

MERACLE: Constructive Layer-Wise Conversion of a Tensor Train into a MERA pdf

Ngai Wong, Andrzej Cichocki, Kim Batselier, 2019, Communications on Applied Mathematics and Computation.

Recurrent Neural Networks For Blind Separation of Sources

Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang, 1995 .

Blind source recovery: algorithm comparison and fusion

Fabian J. Theis, Andrzej Cichocki, Pando Georgiev, 2004 .

Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach

Shun-ichi Amari, Scott C. Douglas, Andrzej Cichocki, 1997 .

Blind separation of second-order nonstationary and temporally colored sources

Seungjin Choi, Andrzej Cichocki, Adel Belouchrani, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

INVITED PAPER Special Section on Special Issue on Blind Signal Processing Blind Source Separation Algorithms with Matrix Constraints

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003 .

Blind signal extraction using self-adaptive nonlinear Hebbian learning rule

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1996 .

Kurtosis-Based Blind Source Extraction of Complex Non-Circular Signals with Application in EEG Artifact Removal in Real-Time

Danilo P. Mandic, Soroush Javidi, Andrzej Cichocki, 2011, Front. Neurosci..

Priority-Aligned Flow Control for IP-Based Telemetry Systems

Mariusz Fecko, Ray O'Connell, Andrzej Cichocki, 2015 .

Semiparametric Approach to Blind Deconvolution

Liqing Zhang, Shun-ichi Amari, Jianting Cao, 1999 .

SPEECH EXTRACTION BASED UPON A COMBINED SUBBAND INDEPENDENT COMPONENT ANALYSIS AND NEURAL MEMORY

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2003 .

Self-adaptive neural networks for blind separation of sources

Shun-ichi Amari, Andrzej Cichocki, Włodzimierz Kasprzak, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

PW-Sat on-board flight computer, hardware and software design

Andrzej Cichocki, Michal Mosdorf, Michal Kurowski, 2009, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

On Some Extensions Of The Natural Gradient Algorithm

Shun-ichi Amari, Andrzej Cichocki, Pando G. Georgiev, 2001 .

Task-free brainprint recognition based on low-rank and sparse decomposition model

Qiaonan Fan, Andrzej Cichocki, Xianghao Kong, 2019, Int. J. Data Min. Bioinform..

A linear feedforward neural network with lateral feedback connections for blind source separation

Seungjin Choi, Andrzej Cichocki, Andrzej Cichocki, 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

Ian Daly, Andrzej Cichocki, Jing Jin, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs

Bhaskar Krishnamachari, Amir Salman Avestimehr, Alexander Poylisher, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).