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)

Series comments: To receive the series announcements, please register in:
mpml.tecnico.ulisboa.pt
mpml.tecnico.ulisboa.pt/registration
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

Export talk to