Tomáš Peitl

Address:
Tomáš Peitl
Technische Universität Wien
Institute of Logic and Computation
Favoritenstraße 9–11, E192-01
1040 Wien
Austria

Email:	peitl@ac.tuwien.ac.at
Web:	http://www.ac.tuwien.ac.at/people/peitl/

Research Interests

QBF, DQBF, SAT, Proof Complexity, Complexity Theory, Graph Theory

Current and previous positions

Since November 2019 I'm a postdoc in the group of Olaf Beyersdorff at Friedrich Schiller University in Jena, Germany, funded by an FWF Erwin Schrödinger Fellowship.
Until October 2019 I was a PhD student funded by the FWF project P27721 and partially by Doctoral College Logical Methods in Computer Science, and I was also a project assistant in the Algorithms and Complexity Group. I started my PhD studies in September 2015 under the supervision of Prof. Dr. Stefan Szeider, and I succesfully defended my thesis on October 14th 2019.

Education

2015-2019 PhD in Computer Science (TU Wien)
2013-2015 MSc in Mathematics (Comenius University, Bratislava, Slovakia)
2010-2013 BSc in Mathematics (Comenius University, Bratislava, Slovakia)

Software

QBF solver Qute ,which implements QCDCL with dependency learning and the reflexive resolution-path dependency scheme D^rrs
The long-distance Q-resolution strategy extractor qrp2rup will be available soon. Please send me an email if you're interested in using it before it's properly published.

Publications

12 results

2020
[12]	Fixed-Parameter Tractability of Dependency QBF with Structural Parameters Robert Ganian, Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Principles of Knowledge Representation and Reasoning: Proceedings of the Seventeenth International Conference, KR 2020, 2020. Note: to appear [bibtex]
[11]	Strong (D)QBF Dependency Schemes via Tautology-free Resolution Paths Olaf Beyersdorff, Joshua Blinkhorn, Tomáš Peitl Proceedings of SAT 2020, The 23rd International Conference on Theory and Applications of Satisfiability Testing (Luca Pulina, Martina Seidl, eds.), 2020, Springer Verlag. Note: to appear [bibtex] [pdf]
2019
[10]	Dependency Learning for QBF Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Journal Artificial Intelligence Research, volume 65, pages 180–208, 2019. [bibtex] [pdf] [doi]
[9]	Long-Distance Q-Resolution with Dependency Schemes Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Journal of Automated Reasoning, volume 63, number 1, pages 127–155, 2019. [bibtex] [pdf] [doi]
[8]	Proof Complexity of Fragments of Long-Distance Q-resolution Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Proceedings of SAT 2019, the 22nd International Conference on Theory and Applications of Satisfiability Testing, July 7–12, 2019, Lisbon, Portugal (Mikoláš Janota, Inês Lynce, eds.), volume 11628 of Lecture Notes in Computer Science, pages 319–335, 2019, Springer Verlag. [bibtex] [pdf] [doi]
[7]	Combining Resolution-Path Dependencies with Dependency Learning Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Proceedings of SAT 2019, the 22nd International Conference on Theory and Applications of Satisfiability Testing, July 7–12, 2019, Lisbon, Portugal (Mikoláš Janota, Inês Lynce, eds.), volume 11628 of Lecture Notes in Computer Science, pages 306–318, 2019, Springer Verlag. [bibtex] [pdf] [doi]
2018
[6]	Polynomial-Time Validation of QCDCL Certificates Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Proceedings of SAT 2018, the 21st International Conference on Theory and Applications of Satisfiability Testing, Part of FLoC 2018, July 9–12, 2018, Oxford, UK (Olaf Beyersdorff, Christoph M. Wintersteiger, eds.), volume 10929 of Lecture Notes in Computer Science, pages 253–269, 2018, Springer Verlag. [bibtex] [pdf] [doi]
[5]	Portfolio-Based Algorithm Selection for Circuit QBFs Holger H. Hoos, Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider QBF Workshop, 2018. [bibtex]
[4]	Portfolio-Based Algorithm Selection for Circuit QBFs Holger H. Hoos, Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Proceedings of CP 2018, the 24rd International Conference on Principles and Practice of Constraint Programming (John N. Hooker, ed.), volume 11008 of Lecture Notes in Computer Science, pages 195–209, 2018, Springer Verlag. [bibtex] [pdf] [doi]
[3]	Portfolio Solvers for QDIMACS and QCIR Holger H. Hoos, Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider 2018. Note: QBF Evaluation at SAT [bibtex]
2017
[2]	Dependency learning for QBF Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Theory and Applications of Satisfiability Testing - SAT 2017 - 20th International Conference, Melbourne, VIC, Australia, August 28 - September 1, 2017, Proceedings (Serge Gaspers, Toby Walsh, eds.), volume 10491 of Lecture Notes in Computer Science, pages 298–313, 2017, Springer Verlag. [bibtex] [pdf] [doi]
2016
[1]	Long Distance Q-Resolution with Dependency Schemes Tomáš Peitl, Friedrich Slivovsky, Stefan Szeider Theory and Applications of Satisfiability Testing - SAT 2016 - 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings (Nadia Creignou, Daniel Le Berre, eds.), volume 9710 of Lecture Notes in Computer Science, pages 500–518, 2016, Springer Verlag. [bibtex] [pdf] [doi]