31 citations · 111 across the 11 of their papers we have counts for
10 papers · 1 filter
A Mathematical Benchmark for Inductive Theorem Provers
Thibault Gauthier, Chad E. Brown, Mikolas Janota +1
We present a benchmark of 29687 problems derived from the On-Line Encyclopedia of Integer Sequences (OEIS). Each problem expresses the equivalence of two syntactically different pr…
Learning Theorem Proving Components
Karel Chvalovský, Jan Jakubův, Miroslav Olšák +1
Saturation-style automated theorem provers (ATPs) based on the given clause procedure are today the strongest general reasoners for classical first-order logic. The clause selectio…
Online Machine Learning Techniques for Coq: A Comparison
Liao Zhang, Lasse Blaauwbroek, Bartosz Piotrowski +3
We present a comparison of several online machine learning techniques for tactical learning and proving in the Coq proof assistant. This work builds on top of Tactician, a plugin f…
Prolog Technology Reinforcement Learning Prover
Zsolt Zombori, Josef Urban, Chad E. Brown
We present a reinforcement learning toolkit for experiments with guiding automated theorem proving in the connection calculus. The core of the toolkit is a compact and easy to exte…
Stateful Premise Selection by Recurrent Neural Networks
Bartosz Piotrowski, Josef Urban
In this work, we develop a new learning-based method for selecting facts (premises) when proving new goals over large formal libraries. Unlike previous methods that choose sets of…
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
Qingxiang Wang, Chad Brown, Cezary Kaliszyk +1
In this paper we share several experiments trying to automatically translate informal mathematics into formal mathematics. In our context informal mathematics refers to human-writt…