Research output per year
Research output per year
Personal profile
Research Interests
Bayesian approaches to deep learning, approximate inference, probabilistic programming languages and the application of these techniques to real world problems requiring the understanding of uncertainty.
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Dive into the research topics where James Ritchie is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Density Deconvolution with Normalizing Flows
Dockhorn, T., Ritchie, J. A., Yu, Y. & Murray, I., 18 Jul 2020. 8 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Scalable Extreme Deconvolution
Ritchie, J. & Murray, I., 14 Dec 2019. 7 p.Research output: Contribution to conference › Poster › peer-review
Open AccessFile