Search Results for author: Albert Atserias

Found 5 papers, 0 papers with code

On the Expressive Power of Homomorphism Counts

no code implementations29 Jan 2021 Albert Atserias, Phokion G. Kolaitis, Wei-Lin Wu

In this paper, we embark on a study of the restrictions of the right profile by investigating relaxations of isomorphism that can or cannot be captured by restricting the right profile to a fixed class of graphs.

Combinatorics Logic in Computer Science F.4.1; G.2.2; I.1.2

Structure and Complexity of Bag Consistency

no code implementations22 Dec 2020 Albert Atserias, Phokion G. Kolaitis

In a by-now classical paper, Beeri, Fagin, Maier, and Yannakakis established several different equivalent characterizations of acyclicity; in particular, they showed that the sets of attributes of a schema form an acyclic hypergraph if and only if the local-to-global consistency property for relations over that schema holds, which means that every collection of pairwise consistent relations over the schema is globally consistent.

Databases

Clique Is Hard on Average for Regular Resolution

no code implementations17 Dec 2020 Albert Atserias, Ilario Bonacina, Susanna F. de Rezende, Massimo Lauria, Jakob Nordström, Alexander Razborov

We prove that for $k \ll \sqrt[4]{n}$ regular resolution requires length $n^{\Omega(k)}$ to establish that an Erd\H{o}s-R\'enyi graph with appropriately chosen edge density does not contain a $k$-clique.

Computational Complexity

Relative Entailment Among Probabilistic Implications

no code implementations20 Jan 2015 Albert Atserias, José L. Balcázar, Marie Ely Piceno

By exploiting a previously noted alternative view of the entailment in terms of linear programming duality, we characterize exactly the cases of entailment from arbitrary numbers of premises, again both in the stand-alone case and in the case of presence of additional classical implications.

Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution

no code implementations16 Jan 2014 Albert Atserias, Johannes Klaus Fichte, Marc Thurley

We offer a new understanding of some aspects of practical SAT-solvers that are based on DPLL with unit-clause propagation, clause-learning, and restarts.

2k

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