University of Cambridge > > Isaac Newton Institute Seminar Series > Combining Machine Learning and Automated Reasoning: Some Training Examples

Combining Machine Learning and Automated Reasoning: Some Training Examples

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BPR - Big proof

Co-Author: Cezary Kaliszyk (U. of Innsbruck)

I am planning to show some samples of how machine learning and automated reasoning are usefully combined in various tasks related to interactive/automated proving, and automated formalization. My plan is to make the session a bit more interactive/improvised and show/discuss things in more detail, such as what features we use, what are the datasets and benchmarks/competitions, what are the training/evaluation tasks, and how the resulting systems are run and used. I encourage questions and discussion.

This talk is part of the Isaac Newton Institute Seminar Series series.

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