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My PhD thesis is now available on arXiv: Neural Density Estimation and Likelihood-free Inference https://arxiv.org/abs/1910.13233 There's a lot in it for those interested in probabilistic modelling with normalizing flows, and in likelihood-free inference using machine learning. (cont.)https://twitter.com/driainmurray/status/1155054417747615744 …
It contains, among other things: - A tutorial on density estimation. - A tutorial on approximate Bayesian computation (ABC). - A review of normalizing flows (up until April 2019). - Extensive commentary on the papers I published as part of my PhD.
Great work. Where are you off to next? Any chance you’d be interested in swinging by Berkeley for a talk?
Thanks! I'm now at DeepMind in London. I'd be happy to come if I'm around, feel free to get in touch :)
Wonderful thesis 
Congrats!
congrats, looks like an interesting read!
Congrats!!
Congratulations, thank you for sharing
Congratulations! I look forward to reading this :)
Congrats! Thanks for sharing!
Congratulations 
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