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20202025
most citedCompilation and Fast Model Counting beyond CNF

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CC2025★ 1 cited

Compilation and Fast Model Counting beyond CNF

Alexis de Colnet, Stefan Szeider, Tianwei Zhang

Circuits in deterministic decomposable negation normal form (d-DNNF) are representations of Boolean functions that enable linear-time model counting. This paper strengthens our the…

cs.DS2024

#CFG and #DNNF admit FPRAS

Kuldeep S. Meel, Alexis de Colnet

We provide the first fully polynomial-time randomized approximation scheme for the following two counting problems: 1. Given a Context Free Grammar over alphabet , count the…

cs.DS2024

An FPRAS for Model Counting for Non-Deterministic Read-Once Branching Programs

Kuldeep S. Meel, Alexis de Colnet

Non-deterministic read-once branching programs, also known as non-deterministic free binary decision diagrams (nFBDD), are a fundamental data structure in computer science for repr…

cs.CC2024

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky +1

Parity reasoning is challenging for Conflict-Driven Clause Learning (CDCL) SAT solvers. This has been observed even for simple formulas encoding two contradictory parity constraint…

cs.CC2021

A Compilation of Succinctness Results for Arithmetic Circuits

Alexis de Colnet, Stefan Mengel

Arithmetic circuits (AC) are circuits over the real numbers with 0/1-valued input variables whose gates compute the sum or the product of their inputs. Positive AC -- that is, AC r…

cs.CC2021

Characterizing Tseitin-formulas with short regular resolution refutations

Alexis de Colnet, Stefan Mengel

Tseitin-formulas are systems of parity constraints whose structure is described by a graph. These formulas have been studied extensively in proof complexity as hard instances in ma…

cs.AI2020

Lower Bounds for Approximate Knowledge Compilation

Alexis de Colnet, Stefan Mengel

Knowledge compilation studies the trade-off between succinctness and efficiency of different representation languages. For many languages, there are known strong lower bounds on th…