256:
and learning algorithms, especially for ICA, NMF and Sparse
Component Analysis (SCA). He developed and proposed new recurrent neural network architectures for optimization, solving large scale systems of algebraic equations and blind signal separation, especially multilayer (deep) hierarchical neural networks. He contributed to development of natural gradient algorithms for Independent Component Analysis (ICA) and blind deconvolution.
186:
484:
2010 APNNA Best Paper Award for the paper coauthored by Yunjun Nam, Qibin Zhao, Andrzej
Cichocki, and Seungjin Choi “A tongue-machine interface: Detection of tongue positions by glossokinetic potentials,” in Proceedings of the International Conference on Neural Information
263:
Following concerns raised by some AI experts about the potential risks that AGI may pose on humanity, Cichocki suggested in 2021 development of novel AGI systems with implemented multiple intelligences, including not
255:
He pioneered developing and applying new beta and alpha-beta and other divergences in machine learning, especially for non-negative matrix factorizations and nonnegative tensor decompositions. Moreover, he pioneered in development of multilayer (deep) matrix and tensor factorization models
447:
2018 The best paper award in 2018 in IEEE Signal
Processing Magazine for the paper “Tensor decompositions for signal processing applications: From two-way to multiway component analysis”, coauthored by A. Cichocki, D. Mandic, L De Lathauwer, A.H. Phan, Q. Zhao, C.
462:
2015 The best paper award in Journal
Entropy the paper “Generalized Alpha-Beta divergences and their application to robust non-negative matrix factorization” Entropy 2011, 13(1), 134–170; coauthored by A. Cichocki, S. Cruces and S. Amari
218:'s Research Department, as a team leader and later as senior head of laboratories. He established and ran in RIKEN BSI three laboratories: Open Information Systems, Artificial Brains Systems and Cichocki's Laboratory for Advanced Brain Signal Processing.
149:(born 1947) is a Polish computer scientist, electrical engineer and a professor at the Systems Research Institute of Polish Academy of Science, Warsaw, Poland and a visiting professor in several universities and research institutes, especially
259:
He proposed together with his co-workers several efficient AI models and machine learning algorithms for brain computer interface, human emotions recognition and early diagnosis of some brain diseases, like
Alzheimer and Schizophrenia.
388:
Cichocki, A., Phan, A. H., Zhao, Q., Lee, N., Oseledets, I., Sugiyama, M., & Mandic, D. P. (2017). Tensor
Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives.
458:
2016 Excellent ICONIP Paper Award for the paper authored by Namgil Lee, Anh-Huy Phan, Fengyu Cong, Andrzej
Cichocki. “Nonnegative tensor train decompositions for multi-domain feature extraction and
368:
Cichocki, A., Lee, N., Oseledets, I., Phan, A. H., Zhao, Q., & Mandic, D. P. (2016). Tensor
Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions.
474:
207:
From 1984 to 1989 he was a
Alexander von Humboldt Research Fellow and DFG visiting scholar at the University of Erlangen Nurnberg, Germany and he worked closely with Professor
1039:
226:
264:
only ethical/moral intelligence but also social-emotional intelligence with self-awareness and responsible decision making abilities.
1044:
865:
622:
169:, Deep (Multilayer) Matrix Factorizations for ICA, NMF, PCA, neural networks for optimization and signal processing,
596:
577:
Cichocki, Andrzej; Zdunek, Rafal; Amari, Shun'ichi (2007). "Hierarchical ALS Algorithms for
Nonnegative Matrix and 3D Tensor Factorization".
419:
311:
1034:
240:
Andrzej Cichocki has contributed extensively to several major interests of signal/image processing, machine learning and AI, including
851:
355:
333:
245:
162:
111:
996:
198:
126:
58:
348:
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
241:
158:
130:
107:
749:
513:
134:
174:
1024:
492:
249:
222:
122:
440:
103:
757:
Proc. Advances in Neural Information Processing Systems 8 Advances in Neural Information Processing Systems 8
280:
Applications: EEG, NIRS, ECoG, EMG, Brain Computer Interfaces, computational neuroscience, computer vision.
1029:
177:. He is the author of several monographs/books and more than 500 scientific peer-reviewed articles.
1008:
663:"Multi-layer neural networks with a local adaptive learning rule for blind separation of source signals"
772:"Robust neural networks with on-line learning for blind identification and blind separation of sources"
466:
2014 The Best paper award in Journal Entropy for 2014 for the paper coauthored by Andrzej Cichocki and
1049:
635:
166:
407:
208:
670:
Proceedings of the 1995 International Symposium on Nonlinear Theory and Its Applications (NOLTA'95)
470:, “Families of Alpha- Beta- and Gamma- Divergences: Flexible and robust measures of similarities”
1002:
826:
602:
221:
In 2018-2022 he holds a distinguished visiting professorship at several universities including
801:
467:
215:
412:
MOS Switched-Capacitor and Continuous-time Integrated Circuits and Systems: Analysis and Design
726:
592:
415:
351:
329:
307:
154:
99:
925:
892:
783:
718:
684:
643:
584:
423:
398:
378:
359:
337:
315:
91:
479:
for contributions to applications of blind signal processing and artificial neural networks
185:
982:
662:
531:
289:
Exponentiated gradient and natural gradient learning algorithms for various applications
639:
252:. He developed an efficient Hierarchical Alternating Least Squares (HALS) algorithm.
193:
Andrzej Cichocki received his M.Sc. (with honors), PhD and doctor of science (Dr.Sc.-
986:
628:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
455:
awarded by Nicolaus Copernicus University, Torun, Poland, February 27, 2022
214:
From 1996 till 2018 he worked in RIKEN Brain Science Institute, Wako-shi, Japan at
170:
95:
68:
1018:
578:
623:"Fast local algorithms for large scale nonnegative matrix and tensor factorizations"
488:
1995 Received a title of Professor in Poland from the President of the country
771:
734:
606:
194:
945:
707:"Multilayer nonnegative matrix factorization using projected gradient approaches"
588:
277:
Data fusion of multi-modal structured data, and deep neural networks compression
973:
439:
2021, 2022 and 2023 Andrzej Cichocki is listed among Clarivate's Web of Science
326:
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
647:
991:
722:
427:
730:
685:"Local adaptive learning algorithms for blind separation of natural images"
319:
153:
AIP, Japan. He is most noted for his learning algorithms for
556:
363:
197:) degrees all in electrical engineering and computer science from the
583:. Lecture Notes in Computer Science. Vol. 4666. pp. 169–176.
402:
382:
341:
930:
913:
897:
880:
787:
237:
He is one of the leading computer scientists affiliated with Poland.
48:
37:
706:
661:
Cichocki, Andrzej; Kasprzak, Wlodzimierz; Amari, Shun-ichi (1995).
485:
Processing (ICONIP-2010), Sydney, Australia, November 22–25, 2010.
346:
Cichocki, A., Zdunek, R., Phan, A. H., & Amari, S. I. (2009).
184:
150:
292:
Artificial General Intelligence (AGI) with multiple intelligences
72:
32:
475:
Fellow of the Institute of Electrical and Electronics Engineers
852:"Best paper award for 2018 in IEEE Signal Processing Magazine"
748:
Amari, Shun'ichi; Cichocki, Andrzej; Young, Howard (1995).
189:
Andrzej Cichocki in 2013 in Riken Brain Science Institute
976:, Systems Research Institute, Polish Academy of Science
827:"Highly Cited Researchers according to Web of Science"
802:"Highly Cited Researchers 2023, 2022, 2021 recipients"
750:"A new learning algorithm for blind signal separation"
304:
Neural Networks for Optimization and Signal Processing
580:
Independent Component Analysis and Signal Separation
866:"Andrzej Cichocki received Doctorate Honoris Causa"
117:
87:
64:
54:
44:
28:
21:
914:"Best paper award for 2014 in the Journal Entropy"
881:"Best paper award for 2015 in the Journal Entropy"
621:
683:Cichocki, Andrzej; Kasprzak, Wlodzimierz (1997).
302:Cichocki, Andrzej, & Unbehauen, Rolf (1993).
204:He received the title of full Professor in 1995.
776:IEEE Transaction on Circuits and Systems Systems
532:"Highly Cited Researchers 2021, 2022 recipients"
227:Tokyo University of Agriculture and Technology
173: for Machine Learning and Big Data, and
8:
770:Cichocki, Andrzej; Unbehauen, Rolf (1996).
391:Foundations and Trends® in Machine Learning
371:Foundations and Trends® in Machine Learning
18:
929:
896:
854:. IEEE SPS =2019-01-20. 20 December 2018.
705:Cichocki, Andrzej; Zdunek, Rafal (2007).
620:Cichocki, Andrzej; Phan, Anh-Huy (2009).
414:. Springer Science & Business Media.
324:Cichocki, A., & Amari, S. I. (2002).
1009:Research in Cichocki Laboratory in Riken
271:Tensor decomposition and tensor networks
267:His current research interests include:
1003:NTT presentation of Cichocki Laboratory
997:Interview of Cichocki laboratory by CNN
711:International Journal of Neural Systems
505:
76:Recipient of several best papers awards
1040:Warsaw University of Technology alumni
999:—wheelchair controlled by EEG signals
7:
924:(2). mdpi.com =2014-12-20: 726–728.
891:(2). mdpi.com =2015-12-20: 882–884.
557:"Best Scientists - Computer Science"
514:"Books Authored by Andrzej Cichocki"
283:Time series forecasting and analysis
1045:Artificial intelligence researchers
868:. UMK, Nauka w Polsce =2018-02-27.
14:
1005:—new developments (in Japanese).
912:Knuth, Kevin H. (February 2014).
879:Knuth, Kevin H. (February 2015).
493:Alexander von Humboldt Award
410:& Andrzej Cichocki, (2012).
286:Online portfolio selection (OLPS)
274:Learning of non-stationarity data
246:Non-negative matrix factorization
163:Non-negative matrix factorization
112:Non-negative matrix factorization
473:2013 Andrzej Cichocki was named
453:H.C. (Honoris Causa) Doctorate,
306:. John Wiley & Sons, Inc..
199:Warsaw University of Technology
127:Warsaw University of Technology
59:Warsaw University of Technology
242:Independent Component Analysis
159:Independent Component Analysis
131:Nicolaus Copernicus University
108:Independent Component Analysis
1:
135:RIKEN Brain Science Institute
974:Homepage of Andrzej Cichocki
589:10.1007/978-3-540-74494-8_22
121:Systems Research Institute
100:Signal and Image Processing
1066:
1035:Polish computer scientists
648:10.1587/transfun.E92.A.708
491:1984-1985 Winner of
250:artificial neural networks
223:Hangzhou Dianzi University
123:Polish Academy of Sciences
723:10.1142/S0129065707001275
428:10.1007/978-3-642-83677-0
350:. John Wiley & Sons.
328:. John Wiley & Sons.
175:brain–computer interfaces
140:
80:
16:Polish computer scientist
992:Interview with Cichocki
985:publications indexed by
518:Amazon Authors Directory
441:Highly Cited Researchers
225:in Hangzhou, China and
104:Brain-computer interface
946:"2013 elevated fellow"
448:Caiafa, G, Zhao
377:(4-5), 249-429.
320:10.1002/acs.4480080309
229:(TUAT), Tokyo, Japan.
190:
23:Andrzej Cichocki
364:10.1002/9780470747278
188:
1011:( 2010, in Russian).
692:Neural Network World
181:Education and career
171:Tensor network
167:tensor decomposition
1025:Fellows of the IEEE
640:2009IEITF..92..708C
559:. Guide 2 Research
403:10.1561/2200000067
383:10.1561/2200000059
342:10.1002/0470845899
191:
931:10.3390/e16020726
898:10.3390/e17020882
788:10.1109/81.542280
598:978-3-540-74493-1
495: in Germany.
434:Awards and honors
420:978-3-642-83677-0
312:978-0-471-93010-5
155:Signal separation
144:
143:
82:Scientific career
1057:
983:Andrzej Cichocki
979:
961:
960:
958:
956:
942:
936:
935:
933:
909:
903:
902:
900:
876:
870:
869:
862:
856:
855:
848:
842:
841:
839:
837:
831:webofscience.com
823:
817:
816:
814:
813:
806:webofscience.com
798:
792:
791:
767:
761:
760:
754:
745:
739:
738:
702:
696:
695:
689:
680:
674:
673:
667:
658:
652:
651:
625:
617:
611:
610:
574:
568:
567:
565:
564:
553:
547:
546:
544:
543:
536:webofscience.com
528:
522:
521:
510:
147:Andrzej Cichocki
92:Machine Learning
19:
1065:
1064:
1060:
1059:
1058:
1056:
1055:
1054:
1015:
1014:
977:
970:
965:
964:
954:
952:
944:
943:
939:
911:
910:
906:
878:
877:
873:
864:
863:
859:
850:
849:
845:
835:
833:
825:
824:
820:
811:
809:
800:
799:
795:
782:(11): 894–906.
769:
768:
764:
752:
747:
746:
742:
704:
703:
699:
687:
682:
681:
677:
665:
660:
659:
655:
619:
618:
614:
599:
576:
575:
571:
562:
560:
555:
554:
550:
541:
539:
530:
529:
525:
512:
511:
507:
502:
477:(IEEE) in 2013
468:Shun'ichi Amari
436:
299:
235:
216:Shun'ichi Amari
183:
133:
129:
125:
110:
106:
102:
98:
96:Tensor Networks
94:
75:
71:
55:Alma mater
40:
35:
24:
17:
12:
11:
5:
1063:
1061:
1053:
1052:
1047:
1042:
1037:
1032:
1027:
1017:
1016:
1013:
1012:
1006:
1000:
994:
989:
987:Google Scholar
980:
969:
968:External links
966:
963:
962:
937:
904:
871:
857:
843:
818:
793:
762:
740:
717:(6): 431–446.
697:
675:
653:
634:(3): 708–721.
612:
597:
569:
548:
523:
504:
503:
501:
498:
497:
496:
489:
486:
482:
471:
464:
460:
456:
449:
444:
443:
435:
432:
431:
430:
408:Rolf Unbehauen
405:
397:(6), 431-673.
386:
366:
344:
322:
298:
295:
294:
293:
290:
287:
284:
281:
278:
275:
272:
234:
231:
209:Rolf Unbehauen
182:
179:
142:
141:
138:
137:
119:
115:
114:
89:
85:
84:
78:
77:
69:Humboldt Prize
66:
62:
61:
56:
52:
51:
46:
42:
41:
36:
30:
26:
25:
22:
15:
13:
10:
9:
6:
4:
3:
2:
1062:
1051:
1048:
1046:
1043:
1041:
1038:
1036:
1033:
1031:
1030:Living people
1028:
1026:
1023:
1022:
1020:
1010:
1007:
1004:
1001:
998:
995:
993:
990:
988:
984:
981:
975:
972:
971:
967:
951:
947:
941:
938:
932:
927:
923:
919:
915:
908:
905:
899:
894:
890:
886:
882:
875:
872:
867:
861:
858:
853:
847:
844:
832:
828:
822:
819:
807:
803:
797:
794:
789:
785:
781:
777:
773:
766:
763:
758:
751:
744:
741:
736:
732:
728:
724:
720:
716:
712:
708:
701:
698:
693:
686:
679:
676:
671:
664:
657:
654:
649:
645:
641:
637:
633:
629:
624:
616:
613:
608:
604:
600:
594:
590:
586:
582:
581:
573:
570:
558:
552:
549:
537:
533:
527:
524:
519:
515:
509:
506:
499:
494:
490:
487:
483:
480:
476:
472:
469:
465:
461:
457:
454:
450:
446:
445:
442:
438:
437:
433:
429:
425:
421:
417:
413:
409:
406:
404:
400:
396:
392:
387:
384:
380:
376:
372:
367:
365:
361:
357:
356:9780470747278
353:
349:
345:
343:
339:
335:
334:9780470845899
331:
327:
323:
321:
317:
313:
309:
305:
301:
300:
296:
291:
288:
285:
282:
279:
276:
273:
270:
269:
268:
265:
261:
257:
253:
251:
247:
243:
238:
232:
230:
228:
224:
219:
217:
212:
210:
205:
202:
200:
196:
187:
180:
178:
176:
172:
168:
164:
160:
156:
152:
148:
139:
136:
132:
128:
124:
120:
116:
113:
109:
105:
101:
97:
93:
90:
86:
83:
79:
74:
70:
67:
63:
60:
57:
53:
50:
47:
43:
39:
34:
31:
27:
20:
978:(in English)
953:. Retrieved
950:IEEE Explore
949:
940:
921:
917:
907:
888:
884:
874:
860:
846:
834:. Retrieved
830:
821:
810:. Retrieved
805:
796:
779:
775:
765:
756:
743:
735:Academia.edu
733:– via
714:
710:
700:
691:
678:
669:
656:
631:
627:
615:
579:
572:
561:. Retrieved
551:
540:. Retrieved
535:
526:
517:
508:
478:
452:
411:
394:
390:
374:
370:
347:
325:
303:
266:
262:
258:
254:
239:
236:
220:
213:
206:
203:
195:Habilitation
192:
146:
145:
118:Institutions
81:
1050:1947 births
836:January 24,
808:. Clarivate
538:. Clarivate
459:clustering”
248:(NMF) and
73:Fellow IEEE
45:Nationality
1019:Categories
812:2023-11-11
759:: 757–763.
694:: 515–523.
563:2023-08-08
542:2023-08-08
500:References
201:, Poland.
955:June 24,
731:18186593
672:: 61–65.
233:Research
918:Entropy
885:Entropy
636:Bibcode
607:9551215
244:(ICA),
165:(NMF),
161:(ICA),
157:(BSS),
729:
605:
595:
418:
385:
354:
332:
310:
88:Fields
65:Awards
49:Polish
38:Poland
753:(PDF)
688:(PDF)
666:(PDF)
603:S2CID
451:2018
297:Books
151:Riken
957:2023
838:2022
727:PMID
593:ISBN
416:ISBN
352:ISBN
330:ISBN
308:ISBN
33:1947
29:Born
926:doi
893:doi
784:doi
719:doi
644:doi
585:doi
424:doi
399:doi
379:doi
360:doi
338:doi
316:doi
1021::
948:.
922:16
920:.
916:.
889:17
887:.
883:.
829:.
804:.
780:43
778:.
774:.
755:.
725:.
715:17
713:.
709:.
690:.
668:.
642:.
632:92
630:.
626:.
601:.
591:.
534:.
516:.
393:,
373:,
358:,
336:,
211:.
959:.
934:.
928::
901:.
895::
840:.
815:.
790:.
786::
737:.
721::
650:.
646::
638::
609:.
587::
566:.
545:.
520:.
481:.
426::
422:,
401::
395:9
381::
375:9
362::
340::
318::
314:,
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
