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Recent advances in nonlinear Independent Component Analysis (ICA) provide a principled framework for unsupervised feature learning and disentanglement.
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Khemakhem, I., Kingma, D. P., Monti, R. P., and Hyvärinen, A. (2020) · 1907
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Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
Viterbi, A. J. (1967) · 1967
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Maximum likelihood from incomplete data via the em algorithm
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977) · 1977
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Indeterminacy and identifiability of blind identification
Tong, L., Liu, R.-w., Soon, V., and Huang, Y.-F. (1991) · 1991
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A blind source separation technique using second-order statistics
Belouchrani, A., Abed-Meraim, K., Cardoso, J.-F., and Moulines, E. (1997) · 1997
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Nonlinear independent component analysis: Existence and uniqueness results
Hyvärinen, A. and Pajunen, P. (1999) · 1999
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hidden markov independent component analysis
Penny, W., R.M., E., and S.J., R. (2000) · 2000
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Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
Sorrenson, P., Rother, C., and Köthe, U. (2020) · 2001
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Kernel-Based Nonlinear Blind Source Separation
Harmeling, S., Ziehe, A., Kawanabe, M., and Müller, K.-R. (2003) · 2003
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Visualizing data using t-SNE
Maaten, L. v. d. and Hinton, G. (2008) · 2008
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Identifiability of parameters in latent structure models with many observed variables
Allman, E. S., Matias, C., and Rhodes, J. A. (2009) · 2009
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stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., and Manzagol, P.-a. (2010) · 2010
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Stochastic variational inference for hidden Markov models
Foti, N., Xu, J., Laird, D., and Fox, E. (2014) · 2014
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Generative adversarial nets
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Inference in finite state space non parametric Hidden Markov Models and applications
Gassiat, E., Cleynen, A., and Robin, S. (2016) · 2016
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Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Hyvärinen, A. and Morioka, H. (2016) · 2016
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Nonlinear ICA of Temporally Dependent Stationary Sources
Hyvärinen, A. and Morioka, H. (2017) · 2017
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Adam: A Method for Stochastic Optimization
Kingma, D. P. and Ba, J. (2017) · 2017
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Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Hyvärinen, A., Sasaki, H., and Turner, R. E. (2019) · 2019
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An extension of slow feature analysis for nonlinear blind source separation
Sprekeler, H., Zito, T., and Wiskott, L. (2014) · 2014
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Relative gradient optimization of the jacobian term in unsupervised deep learning
Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., and Hyvärinen, A. (2020) · 2020
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An ica mixture hidden markov model for video content analysis
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