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BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders.

, и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2928-2937. PMLR, (2020)

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Disentangling shared and private latent factors in multimodal Variational Autoencoders., и . MLCB, том 240 из Proceedings of Machine Learning Research, стр. 60-75. PMLR, (2023)Neural Decomposition: Functional ANOVA with Variational Autoencoders., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2917-2927. PMLR, (2020)Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4372-4381. PMLR, (2019)Disentangling shared and private latent factors in multimodal Variational Autoencoders., и . CoRR, (2024)Covariate Gaussian Process Latent Variable Models., , и . CoRR, (2018)Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2359-2367. PMLR, (2019)Deep Stochastic Processes via Functional Markov Transition Operators., , , , и . CoRR, (2023)BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2928-2937. PMLR, (2020)