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In International Conference on Machine Learning. PMLR, 4297--4307 . Peter Holderrieth, Michael J Hutchinson, and Yee Whye Teh. 2021. Equivariant learning of stochastic fields: Gaussian processes and steerable conditional neural processes. In International Conference on Machine Learning. PMLR, 4297--4307."},{"key":"e_1_3_2_1_12_1","volume-title":"The neural process family: Survey, applications and perspectives. arXiv preprint arXiv:2209.00517","author":"Jha Saurav","year":"2022","unstructured":"Saurav Jha , Dong Gong , Xuesong Wang , Richard E Turner , and Lina Yao . 2022. The neural process family: Survey, applications and perspectives. arXiv preprint arXiv:2209.00517 ( 2022 ). Saurav Jha, Dong Gong, Xuesong Wang, Richard E Turner, and Lina Yao. 2022. The neural process family: Survey, applications and perspectives. arXiv preprint arXiv:2209.00517 (2022)."},{"key":"e_1_3_2_1_13_1","volume-title":"Asian Conference on Machine Learning. 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