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Tomáš Peitl

5 accepted papers

2026

Graph Choosability via SAT: Beyond the Nullstellensatz

AAAI 2026technical

List coloring extends graph coloring by assigning each vertex a list of allowed colors. A graph is k-choosable if it can be properly colored for any choice of lists with k colors each. Deciding k-choosability is π²ₚ-complete, bipartite graphs have unbounded list chromatic number, and planar graphs (

Cited by 0SourcePDFScholar
2025

Breaking Symmetries in Quantified Graph Search: A Comparative Study

AAAI 2025technical

Graph generation and enumeration problems often require handling equivalent graphs---those that differ only in vertex labeling. We study how to extend SAT Modulo Symmetries (SMS), a framework for eliminating such redundant graphs, to handle more complex constraints. While SMS was originally designed…

Cited by 0SourcePDFScholar
2022

QCDCL with Cube Learning or Pure Literal Elimination - What is Best?

IJCAI 2022poster

Quantified conflict-driven clause learning (QCDCL) is one of the main approaches for solving quantified Boolean formulas (QBF). We formalise and investigate several versions of QCDCL that include cube learning and/or pure-literal elimination, and formally compare the resulting solving models via pro…

Cited by 6SourcePDFScholar