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Josef Urban: Combining learning and deduction over formal math corpora
The talk will give a brief overview of recent methods that combine learning and deduction over large formal libraries. I will mention the "hammer" linkups between ITPs and ATPs, systems that learn and perform direct tactical guidance of ITPs, discuss learning of premise selection over large libraries, and learning-based guidance of saturation-style and tableau-style automated theorem provers (ATPs) trained over the large proof corpora. I will also mention feedback loops between proving and learning in this setting, and show some autoformalization and conjecturing experiments.
Zoom: https://topos-institute.zoom.us/j/84392523736?pwd=bjdVS09wZXVscjQ0QUhTdGhvZ3pUdz09
YouTube: https://www.youtube.com/watch?v=xF6OSrd8QpU