Dominik Schreiber

Orcid: 0000-0002-4185-1851

Affiliations:
  • Karlsruher Institut für Technologie, Germany


According to our database1, Dominik Schreiber authored at least 15 papers between 2019 and 2024.

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Bibliography

2024
Engineering Optimal Parallel Task Scheduling.
CoRR, 2024

The 2023 International Planning Competition.
AI Mag., 2024

Brief Announcement: New Pruning Rules for Optimal Task Scheduling on Identical Parallel Machines.
Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

Scalable SAT Solving on Demand (Abstract).
Proceedings of the 2024 ACM Workshop on Highlights of Parallel Computing, 2024

2023
Scalable SAT Solving and its Application
PhD thesis, 2023

Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

2022
Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling.
Dataset, July, 2022

Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling.
J. Open Source Softw., 2022

Decentralized Online Scheduling of Malleable NP-hard Jobs.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022

2021
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning.
J. Artif. Intell. Res., 2021

Scalable SAT Solving in the Cloud.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

2019
PASAR - Planning as Satisfiability with Abstraction Refinement.
Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Finding Optimal Longest Paths by Dynamic Programming in Parallel.
Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Efficient SAT Encodings for Hierarchical Planning.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Tree-REX: SAT-Based Tree Exploration for Efficient and High-Quality HTN Planning.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019


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