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