31 citations · 111 across the 8 of their papers we have counts for
31 papers
Machine Learning Meets The Herbrand Universe
Jelle Piepenbrock, Josef Urban, Konstantin Korovin +3
The appearance of strong CDCL-based propositional (SAT) solvers has greatly advanced several areas of automated reasoning (AR). One of the directions in AR is thus to apply SAT sol…
The Isabelle ENIGMA
Zarathustra A. Goertzel, Jan Jakubův, Cezary Kaliszyk +3
We significantly improve the performance of the E automated theorem prover on the Isabelle Sledgehammer problems by combining learning and theorem proving in several ways. In parti…
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…
Fast and Slow Enigmas and Parental Guidance
Zarathustra Goertzel, Karel Chvalovský, Jan Jakubův +2
We describe several additions to the ENIGMA system that guides clause selection in the E automated theorem prover. First, we significantly speed up its neural guidance by adding se…
The Role of Entropy in Guiding a Connection Prover
Zsolt Zombori, Josef Urban, Miroslav Olšák
In this work we study how to learn good algorithms for selecting reasoning steps in theorem proving. We explore this in the connection tableau calculus implemented by leanCoP where…
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…