Independent component analysis: recent advances von Hyvärinen, Aapo

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Neural Empirical Bayes von Saremi, Saeed, Hyvärinen, Aapo

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Rejoinder of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear von Hyvärinen, Aapo

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Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits von Morioka, Hiroshi, Calhoun, Vince, Hyvärinen, Aapo

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Uncovering the structure of clinical EEG signals with self-supervised learning von Banville, Hubert, Chehab, Omar, Hyvarinen, Aapo, Engemann, Denis-Alexander, Gramfort, Alexandre

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Dynamics of retinotopic spatial attention revealed by multifocal MEG von Kurki, Ilmari, Hyvärinen, Aapo, Henriksson, Linda

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Learning Visual Spatial Pooling by Strong PCA Dimension Reduction von Hosoya, Haruo, Hyvärinen, Aapo

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Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models von Hyvärinen, Aapo, Smith, Stephen M

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Some extensions of score matching von Hyvarinen, Aapo

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Brain activity reflects the predictability of word sequences in listened continuous speech von Koskinen, Miika, Kurimo, Mikko, Gross, Joachim, Hyvärinen, Aapo, Hari, Riitta

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A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing von Hosoya, Haruo, Hyvärinen, Aapo

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Unsupervised representation learning of spontaneous MEG data with nonlinear ICA von Zhu, Yongjie, Parviainen, Tiina, Heinilä, Erkka, Parkkonen, Lauri, Hyvärinen, Aapo

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Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis von Hyvärinen, Aapo, Ramkumar, Pavan, Parkkonen, Lauri, Hari, Riitta

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Identifiability of latent-variable and structural-equation models: from linear to nonlinear von Hyvärinen, Aapo, Khemakhem, Ilyes, Monti, Ricardo

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Information criteria for non-normalized models von Matsuda, Takeru, Uehara, Masatoshi, Hyvarinen, Aapo

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Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs von Xu, Wenkai, Niu, Gang, Hyvärinen, Aapo, Sugiyama, Masashi

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Group-PCA for very large fMRI datasets von Smith, Stephen M., Hyvärinen, Aapo, Varoquaux, Gaël, Miller, Karla L., Beckmann, Christian F.

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Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines von Hyvärinen, Aapo

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Testing the ICA mixing matrix based on inter-subject or inter-session consistency von Hyvaerinen, Aapo

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Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning von Hyvärinen, Aapo, Khemakhem, Ilyes, Morioka, Hiroshi

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