{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deepmath-deep-sequence-models-for-premise","title":"DeepMath - Deep Sequence Models for Premise Selection","arxiv_id":"1606.04442","date":"2016-06-14","proceeding":"NeurIPS 2016 12","authors":["Alex A. Alemi","Francois Chollet","Niklas Een","Geoffrey Irving","Christian Szegedy","Josef Urban"],"abstract":"We study the effectiveness of neural sequence models for premise selection in\nautomated theorem proving, one of the main bottlenecks in the formalization of\nmathematics. We propose a two stage approach for this task that yields good\nresults for the premise selection task on the Mizar corpus while avoiding the\nhand-engineered features of existing state-of-the-art models. To our knowledge,\nthis is the first time deep learning has been applied to theorem proving on a\nlarge scale.","url_abs":"http://arxiv.org/abs/1606.04442v2","url_pdf":"http://arxiv.org/pdf/1606.04442v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deepmath-deep-sequence-models-for-premise","repo_url":"https://github.com/BartoszPiotrowski/ATPboost","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"deepmath-deep-sequence-models-for-premise","repo_url":"https://github.com/JUrban/deepmath","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"automated-theorem-proving","task_name":"Automated Theorem Proving"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.04442","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}