On this page you can find the slides of most of the talks I have given, including both technical conference presentations as well as more general presentations directed toward a wider audience.
Thesis Research
Lectio Praecursoria a 20 minute presentation given at the start of my thesis defence. The presentation is intended for people without a background in the field.
During my research visit to Melbourne in the autumn of 2018 I gave two, slightly more technical, overviews of my thesis work. One focusing on the MaxSAT encodings, in the CIS seminar at the University of Melbourne and one on the MaxSAT preprocessing in the DATA61 seminar at Monash university.
During my research visit I gave another talk regarding my thesis, specifically about the MaxSAT encodings in it.
Research Presentations
These are presentations of my papers. The title of each presentation is equal to the title of the paper. These are all fairly technical and assume familiarity with the research field.
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Bounded Treewidth Bayesian Network Structure Learning with Maximum Satisfiability, presented at the Logic Seminar at the Department of Mathematics and Statistics of the University of Helsinki.
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Minimum-Width Confidence Bands via Constraint Optimization, presented at CP 2017
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Weight-Aware Core Extraction in SAT-Based MaxSAT Solving, presented at CP 2017
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Impact of SAT-Based Preprocessing on Core-Guided MaxSAT Solving, presented at CP 2016
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Subsumed Label Elimination for Maximum Satisfiability, presented at ECAI 2016
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Re-Using Auxiliary Variables for MaxSAT Preprocessing, presented at ICTAI 2015
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Improving the Effectiveness of SAT-Based Preprocessing for MaxSAT, presented at IJCAI 2015
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SAT-Based Approaches to Treewidth Computation: An Evaluation presented at ICTAI 2014
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(Cost-) Optimal Correlation Clustering via Max-SAT presented at ICDMW 2014
Additional presentations
In addition to the ones listed above, I have also presented papers at the following venues.
- Oral Presentation: MaxPre: An Extended MaxSAT Preprocessor, at SAT 2016
- Poster Presentation: Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. at the Machine Learning Summer School (MLSS), 2015
- Poster Presentation: Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability at AISTATS 2014
Non-research presentations
- Hur svårt kan det vara, an informal introduction to reductions and NP-completeness using SAT and Sudoku (in Swedish), aimed at an audience with practically no background.
- Intuition in mathematics a collection of examples designed to challenge the idea and intuition of mathematics that many high school students have. The example that worked really well was the mothy hall paradox. (in Swedish)
