Machine Learning and Theorem Proving
Josef Urban (Czech Institute of of Informatics, Robotics and Cybernetics (CIIRC))
31-Mar-2022, 16:00-17:00 (2 years ago)
Abstract: The talk will describe several ways in which machine learning is combined with theorem proving today over large corpora of formal proof. If time permits, I will also show some demos of the systems and mention related topics such as ML-guided conjecturing and autoformalization.
data structures and algorithmsmachine learningmathematical physicsinformation theoryoptimization and controldata analysis, statistics and probability
Audience: researchers in the topic
Mathematics, Physics and Machine Learning (IST, Lisbon)
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Zoom link: videoconf-colibri.zoom.us/j/91599759679
Organizers: | Mário Figueiredo, Tiago Domingos, Francisco Melo, Jose Mourao*, Cláudia Nunes, Yasser Omar, Pedro Alexandre Santos, João Seixas, Cláudia Soares, João Xavier |
*contact for this listing |
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