activity
20022023
most citedPremise selection with neural networks and distributed representation of features

6 citations · 12 across the 8 of their papers we have counts for

collaborators

10 papers

q-bio.QM2023

LGEM: a first-order logic framework for automated improvement of metabolic network models through abduction

Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker +2

Scientific discovery in biology is difficult due to the complexity of the systems involved and the expense of obtaining high quality experimental data. Automated techniques are a p…

cs.LO2023

Graph Sequence Learning for Premise Selection

Edvard K. Holden, Konstantin Korovin

Premise selection is crucial for large theory reasoning as the sheer size of the problems quickly leads to resource starvation. This paper proposes a premise selection approach ins…

cs.LG2022

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…

cs.LO2021

AC Simplifications and Closure Redundancies in the Superposition Calculus

André Duarte, Konstantin Korovin

Reasoning in the presence of associativity and commutativity (AC) is well known to be challenging due to prolific nature of these axioms. Specialised treatment of AC axioms is main…

cs.LG2021

Bayesian Optimisation with Formal Guarantees

Franz Brauße, Zurab Khasidashvili, Konstantin Korovin

Application domains of Bayesian optimization include optimizing black-box functions or very complex functions. The functions we are interested in describe complex real-world system…

cs.LO2021

The ksmt calculus is a -complete decision procedure for non-linear constraints

Franz Brauße, Konstantin Korovin, Margarita V. Korovina +1

ksmt is a CDCL-style calculus for solving non-linear constraints over real numbers involving polynomials and transcendental functions. In this paper we investigate properties of th…