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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Joshua Dillon

Joshua Dillon
Software Engineer, Google Research

Joshua V. Dillon is a software engineer for research and machine intelligence at Google. His research interests include approximate inference techniques for probabilistic models, uncertainty in machine learning, and designing probabilistic programming tools and languages. He holds a PhD in machine learning from the Georgia Institute of Technology. In his free time, Josh enjoys spending time with his family, cycling, and woodworking.


14:35–15:15 Wednesday, 10 October 2018
Sponsored, TensorFlow at AI
Location: Buckingham Room - Palace Suite
Joshua Dillon (Google Research), Wolff Dobson (Google)
Joshua Dillon and Wolff Dobson discuss core TensorFlow Probability (TFP) abstractions and demo some of TFP's modeling power and convenience. They also share some of the recent results from Project Magenta, a research project exploring the role of machine learning in the process of creating art and music. Read more.