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Viktoria Korchemna

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

Room: HF0413
Email: vkorchemna@ac.tuwien.ac.at
Web: http://www.ac.tuwien.ac.at/people/vkorchemna/

 

Publications:
6 results

2023
[6]A Structural Complexity Analysis of Synchronous Dynamical Systems
Eduard Eiben, Robert Ganian, Thekla Hamm, Viktoriia Korchemna
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, AAAI Press.
Note: to appear
[bibtex]
2022
[5]Slim Tree-Cut Width
Robert Ganian, Viktoriia Korchemna
17th International Symposium on Parameterized and Exact Computation (IPEC 2022), 2022, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
Note: to appear
[bibtex]
[4]The Complexity of k-Means Clustering when Little is Known
Robert Ganian, Thekla Hamm, Viktoriia Korchemna, Karolina Okrasa, Kirill Simonov
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA (Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu, Sivan Sabato, eds.), volume 162 of Proceedings of Machine Learning Research, pages 6960–6987, 2022, PMLR.
[bibtex] [pdf]
[3]The Fine-Grained Complexity of Graph Homomorphism Parameterized by Clique-Width
Robert Ganian, Thekla Hamm, Viktoriia Korchemna, Karolina Okrasa, Kirill Simonov
49th International Colloquium on Automata, Languages, and Programming, ICALP 2022, July 4-8, 2022, Paris, France (Mikolaj Bojanczyk, Emanuela Merelli, David P. Woodruff, eds.), volume 229 of LIPIcs, pages 66:1–66:20, 2022, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
[bibtex] [pdf] [doi]
[2]Edge-Cut Width: An Algorithmically Driven Analogue of Treewidth Based on Edge Cuts
Cornelius Brand, Esra Ceylan, Robert Ganian, Christian Hatschka, Viktoriia Korchemna
Graph-Theoretic Concepts in Computer Science - 48th International Workshop, WG 2022, Tübingen, Germany, June 22-24, 2022, Revised Selected Papers (Michael A. Bekos, Michael Kaufmann, eds.), volume 13453 of Lecture Notes in Computer Science, pages 98–113, 2022, Springer Verlag.
[bibtex] [pdf] [doi]
2021
[1]The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian, Viktoriia Korchemna
Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual (Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, eds.), pages 430–442, 2021.
[bibtex] [pdf]
  • Cornelius Brand
  • Doris Brazda
  • Maria Bresich
  • Jiehua Chen
  • Alexis de Colnet
  • Alexander Dobler
  • Jan Dreier
  • Herbert Fleischner
  • Nikolaus Frohner
  • Robert Ganian
  • Christian Hatschka
  • Marc Huber
  • Enrico Iurlano
  • Liana Khazaliya
  • Markus Kirchweger
  • Viktoria Korchemna
  • Martin Kronegger
  • Andreas Müller
  • Martin Nöllenburg
  • Daniel Obszelka
  • Tomáš Peitl
  • Vaidyanathan P. R.
  • Günther Raidl
  • Franz Xaver Reichl
  • Mathis Rocton
  • Andre Schidler
  • Sofia Simola
  • Friedrich Slivovsky
  • Manuel Sorge
  • Stefan Szeider
  • Soeren Terziadis
  • Johannes Varga
  • Anaïs Villedieu
  • Markus Wallinger
  • Jules Wulms
  • Hai Xia
  • Tianwei Zhang
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