Sibylle Möhle

Orcid: 0000-0001-7883-7749

According to our database1, Sibylle Möhle authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2014
2016
2018
2020
2022
2024
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Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Counting QBF solutions at level two.
Constraints An Int. J., June, 2024

First-Order Automatic Literal Model Generation.
Proceedings of the Automated Reasoning - 12th International Joint Conference, 2024

2023
An Abstract CNF-to-d-DNNF Compiler Based on Chronological CDCL.
Proceedings of the Frontiers of Combining Systems - 14th International Symposium, 2023

Enumerative Level-2 Solution Counting for Quantified Boolean Formulas (Short Paper).
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022
OuterCount: A First-Level Solution-Counter for Quantified Boolean Formulas.
Proceedings of the Intelligent Computer Mathematics - 15th International Conference, 2022

2021
On Enumerating Short Projected Models.
CoRR, 2021

2020
Four Flavors of Entailment.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2020, 2020

2019
Backing Backtracking.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2019, 2019

Combining Conflict-Driven Clause Learning and Chronological Backtracking for Propositional Model Counting.
Proceedings of the GCAI 2019. Proceedings of the 5th Global Conference on Artificial Intelligence, 2019

2018
Dualizing Projected Model Counting.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Lessons Learned from AlphaGo.
Proceedings of the YSIP2, 2017

An Abstract Dual Propositional Model Counter.
Proceedings of the YSIP2, 2017

2015
Supporting the Forecast of Snow Avalanches in the Canton of Glarus in Eastern Switzerland: A Case Study.
Proceedings of the Man-Machine Interactions 4, 2015

2014
Modeling a System for Decision Support in Snow Avalanche Warning Using Balanced Random Forest and Weighted Random Forest.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014


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