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Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data., , , , и . NeurIPS, стр. 9133-9142. (2018)Toward the Identifiability of Comparative Deep Generative Models., , , , и . CLeaR, том 236 из Proceedings of Machine Learning Research, стр. 868-912. PMLR, (2024)Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19., , , , , , и . Ethics Inf. Technol., 24 (3): 30 (2022)Bayesian Graph Neural Networks with Adaptive Connection Sampling., , , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4094-4104. PMLR, (2020)Semi-Implicit Graph Variational Auto-Encoders., , , , , и . NeurIPS, стр. 10711-10722. (2019)Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty., , , , и . BCB, стр. 596-597. ACM, (2018)A Novel Maneuvering Target Tracking Approach by Stochastic Volatility GARCH Model., , и . CoRR, (2019)Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19., , , , , , и . CoRR, (2021)Towards Understanding and Improving GFlowNet Training., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 30956-30975. PMLR, (2023)Variational Graph Recurrent Neural Networks., , , , , и . NeurIPS, стр. 10700-10710. (2019)