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Independent subspace analysis shows emergence of phase and shift invariant features from natural images.

, and . IJCNN, page 1059-1064. IEEE, (1999)

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Independent component analysis: algorithms and applications., and . Neural Networks, 13 (4-5): 411-430 (2000)Nonlinear ICA of Temporally Dependent Stationary Sources., and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 460-469. PMLR, (2017)Extracting Coactivated Features from Multiple Data Sets., and . ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 323-330. Springer, (2011)A Two-Layer ICA-Like Model Estimated by Score Matching., and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 798-807. Springer, (2007)A Fast Fixed-Point Algorithm for Independent Component Analysis, and . Neural Computation, (1997)A unifying framework for natural image statistics: spatiotemporal activity bubbles., , and . Neurocomputing, (2004)Causal Autoregressive Flows., , , and . CoRR, (2020)Learning reconstruction and prediction of natural stimuli by a population of spiking neurons., and . ESANN, (2009)Causal Discovery with General Non-Linear Relationships using Non-Linear ICA., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 186-195. AUAI Press, (2019)Independent Innovation Analysis for Nonlinear Vector Autoregressive Process., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1549-1557. PMLR, (2021)