Edinburgh Research Explorer
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Research Interests

Probabilistic machine learning, approximate methods for Bayesian inference. Past interests have included optimization, computer vision, and parallel computing.

Research outputs

  1. On Contrastive Learning for Likelihood-free Inference

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Sequential Neural Methods for Likelihood-free Inference

    Research output: Contribution to conferencePaper

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