Search Results for author: Jakob Nordström

Found 3 papers, 0 papers with code

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

no code implementations23 Mar 2022 Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Symmetry and dominance breaking can be crucial for solving hard combinatorial search and optimisation problems, but the correctness of these techniques sometimes relies on subtle arguments.

Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021

no code implementations2 Aug 2021 Buser Say, Scott Sanner, Jo Devriendt, Jakob Nordström, Peter J. Stuckey

This document provides a brief introduction to learned automated planning problem where the state transition function is in the form of a binarized neural network (BNN), presents a general MaxSAT encoding for this problem, and describes the four domains, namely: Navigation, Inventory Control, System Administrator and Cellda, that are submitted as benchmarks for MaxSAT Evaluation 2021.

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

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