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Variational Autoencoders and Nonlinear ICA: A Unifying Framework., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2207-2217. PMLR, (2020)Causal Autoregressive Flows., , , и . CoRR, (2020)Causal Discovery with General Non-Linear Relationships using Non-Linear ICA., , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 186-195. AUAI Press, (2019)Classifying HCP task-fMRI networks using heat kernels., , , и . PRNI, стр. 1-4. IEEE, (2016)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , и . PRNI, стр. 1-4. IEEE Computer Society, (2015)Text-mining the neurosynth corpus using deep boltzmann machines., , , , и . PRNI, стр. 1-4. IEEE, (2016)Controllable Generative Modeling via Causal Reasoning., , и . Trans. Mach. Learn. Res., (2022)Identifiability of latent-variable and structural-equation models: from linear to nonlinear., , и . CoRR, (2023)ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA., , , и . NeurIPS, (2020)Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA, , и . (2019)cite arxiv:1904.09096.