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Kernel Learning for Explainable Climate Science., , , , и . CoRR, (2022)Sparse Gaussian Process Hyperparameters: Optimize or Integrate?, , , и . NeurIPS, (2022)Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs., , , , , , , , и . CoRR, (2022)Approximate Inference for Fully Bayesian Gaussian Process Regression., и . AABI, том 118 из Proceedings of Machine Learning Research, стр. 1-12. PMLR, (2019)Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer., , и . CoRR, (2024)A Greedy approximation scheme for Sparse Gaussian process regression., и . CoRR, (2018)Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference., , и . CoRR, (2022)Generalised GPLVM with Stochastic Variational Inference., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 7841-7864. PMLR, (2022)Kernel Identification Through Transformers., , , , , и . NeurIPS, стр. 10483-10495. (2021)Marginalised Gaussian Processes with Nested Sampling., , и . NeurIPS, стр. 13613-13625. (2021)