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Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments.

, , , , , , and . Bioinform., 37 (21): 3788-3795 (2021)

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Decision Variance in Risk-Averse Online Learning., , and . CDC, page 2738-2744. IEEE, (2019)GPflow: A Gaussian Process Library using TensorFlow., , , , , , , and . J. Mach. Learn. Res., (2017)Enriched Mixtures of Gaussian Process Experts., , and . CoRR, (2019)Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments., , , , , , and . Bioinform., 37 (21): 3788-3795 (2021)Enriched mixtures of generalised Gaussian process experts., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3144-3154. PMLR, (2020)Optimal design for correlated processes with input-dependent noise., , and . Comput. Stat. Data Anal., (2014)Additive Gaussian Processes Revisited., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14358-14383. PMLR, (2022)GPflow: A Gaussian process library using TensorFlow, , , , , , , and . (2016)cite arxiv:1610.08733.Adaptive Sensor Placement for Continuous Spaces., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2385-2393. PMLR, (2019)GrandPrix: scaling up the Bayesian GPLVM for single-cell data., , and . Bioinform., 35 (1): 47-54 (2019)