output
20002026
most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing cs.LOShow all

41 papers · 1 filter

cs.LO2024

Non-Ground Congruence Closure

Hendrik Leidinger, Christoph Weidenbach

Congruence closure on ground equations is a well-established and efficient algorithm for deciding ground equalities. It constructs an explicit representation of ground equivalence…

cs.LO2023

SCL(FOL) Can Simulate Non-Redundant Superposition Clause Learning

Martin Bromberger, Chaahat Jain, Christoph Weidenbach

We show that SCL(FOL) can simulate the derivation of non-redundant clauses by superposition for first-order logic without equality. Superposition-based reasoning is performed with…

cs.LO2023

Symbolic Model Construction for Saturated Constrained Horn Clauses

Martin Bromberger, Lorenz Leutgeb, Christoph Weidenbach

Clause sets saturated by hierarchic ordered resolution do not offer a model representation that can be effectively queried, in general. They only offer the guarantee of the existen…

cs.LO2023★ 6 cited

SCL(FOL) Revisited

Martin Bromberger, Simon Schwarz, Christoph Weidenbach

This paper presents an up-to-date and refined version of the SCL calculus for first-order logic without equality. The refinement mainly consists of the following two parts: First,…

cs.LO2022★ 1 cited

SAT-Inspired Higher-Order Eliminations

Jasmin Blanchette, Petar Vukmirović

We generalize several propositional preprocessing techniques to higher-order logic, building on existing first-order generalizations. These techniques eliminate literals, clauses,…

cs.LO2022★ 18 cited

Automated Expected Amortised Cost Analysis of Probabilistic Data Structures

Lorenz Leutgeb, Georg Moser, Florian Zuleger

In this paper, we present the first fully-automated expected amortised cost analysis of self-adjusting data structures, that is, of randomised splay trees, randomised splay heaps a…