ICA
P. Comon, "Independent component analysis: A new concept?", IEEE Signal Processing, Volume 36, pages 287-314, 1994.
T. Isomura, T. Toyoizumi, "A local learning rule for independent component analysis", Scientific Reports, 2016.
Fast ICA
A. Hyvärinen, E. Oja, "A fast fixed-point algorithm for independent component analysis", Neural Computation, Volume 9, No. 7, pages 1483-1492, 1997.
A. Hyvärinen, "Fast and robust fixed-point algorithms for independent component analysis", IEEE Transactions on Neural Networks, Volume 10, No. 3, pages 626-634, 1999.
Projection Pursuit Techniques
A. Hyvärinen, "New approximations of differential entropy for independent component analysis and projection pursuit", Advances in Neural Information Processing Systems, pages 273–279, 1998.
A. Hyvärinen, E. Oja, "Independent Component Analysis:Algorithms and Applications", Neural Networks, pages 411-430, 2000.
Binary ICA (BICA)
A. Yeredor, “ICA in boolean XOR mixtures” , International Conference on Independent Component Analysis and Signal Separation, ICA 2007, pages 827–835, 2007.
T. Singliar, M. Hauskrecht, “Noisy-or component analysis and its application to link analysis”, Journal of Machine Learning Research, Volume 7, pages 2189–2213, December 2006.
H. Nguyen, R. Zheng, "Binary Independent Component Analysis with OR Mixtures", IEEE Transactions on Signal Processing, Volume 59, Issue 7, pages 3168–3181, July 2011.
Generalized BICA
A. Painsky, S. Rosset, M. Feder, "Generalized Binary Independent Component Analysis", IEEE International Symposium on Information Theory, ISIT 2014, pages 1326–1330, 2014.
Kernel ICA
F. Bach, M. Jordan, "Kernel Independent Component Analysis", Journal of Machine Learning Research, Volume 3, pages 1-48, 2002.
Group ICA
H. Kim, Y. Lim, “Robust Group Independent Component Analysis”, Volume 34, Issue 2, pages 127-139, 2021.
ICANet
Y. Zhang, T. Geng, X. Wu, J. Zhou, D. Gao, "ICANet: A Simple Cascade Linear Convolution Network for Face Recognition", EURASIP Journal on Image and Video Processing, Volume 2018, 2018.