activity
20042026
most citedParameterized Complexity Results for Exact Bayesian Network Structure Learning

58 citations · 327 across the 60 of their papers we have counts for

collaborators

71 papers

math.CO2026

Biplanar graphs with independence number two are 9-colorable

Stefan Szeider

A graph is biplanar if it is the union of two planar graphs on the same vertex set. The largest chromatic number of a biplanar graph is known to lie between 9 and 12. The lower bou…

cs.DM2026

Enumerating Two-Orbit Graphs

David Seka, Stefan Szeider

We present an approach to enumerate graphs whose automorphism group has exactly two orbits. Our method exploits the observation that we can enumerate all graphs whose automorphism…

cs.AI2025

Explaining Decisions in ML Models: a Parameterized Complexity Analysis (Part I)

Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki +1

This paper presents a comprehensive theoretical investigation into the parameterized complexity of explanation problems in various machine learning (ML) models. Contrary to the pre…

cs.AI2024

Explaining Decisions in ML Models: a Parameterized Complexity Analysis

Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki +1

This paper presents a comprehensive theoretical investigation into the parameterized complexity of explanation problems in various machine learning (ML) models. Contrary to the pre…

cs.DS2024

From Data Completion to Problems on Hypercubes: A Parameterized Analysis of the Independent Set Problem

Eduard Eiben, Robert Ganian, Iyad Kanj +2

Several works have recently investigated the parameterized complexity of data completion problems, motivated by their applications in machine learning, and clustering in particular…

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…