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Calibrating Deep Convolutional Gaussian Processes.

, , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1554-1563. PMLR, (2019)

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Efficient Variational Inference for Gaussian Process Regression Networks., и . AISTATS, том 31 из JMLR Workshop and Conference Proceedings, стр. 472-480. JMLR.org, (2013)Variational Spectral Graph Convolutional Networks., , , и . CoRR, (2019)Log Gaussian Cox Process Networks., , и . CoRR, (2018)Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations., , , , и . CoRR, (2020)Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference., , и . CoRR, (2018)Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 27060-27074. PMLR, (2022)Transformed Distribution Matching for Missing Value Imputation., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 42159-42186. PMLR, (2023)Kernel Multi-task Learning using Task-specific Features., , и . AISTATS, том 2 из JMLR Proceedings, стр. 43-50. JMLR.org, (2007)Efficient Inference in Multi-task Cox Process Models., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 537-546. PMLR, (2019)Grouped Gaussian Processes for Solar Power Prediction., и . CoRR, (2018)