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Vaidyanathan P. R.

Address:
Vaidyanathan P. R.
Technische Universität Wien
Institute of Logic and Computation
Favoritenstraße 9–11, E192-01
1040 Wien
Austria

Room: HA0406
Phone: +43(1)58801–192139
Email: vaidyanathan@ac.tuwien.ac.at
Web: http://www.ac.tuwien.ac.at/people/vaidyanathan/

ORCID iD icon orcid.org/0000-0002-3101-2085

Publications

8 results
2025
[8]StreamLLM: Enhancing Constraint Programming with Large Language Model-Generated Streamliners
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2025, IEEE Computer Soc..
Note: To appear
[bibtex]
2024
[7]Realtime Generation of Streamliners with Large Language Models
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
CoRR, volume abs/2408.10268, 2024.
[bibtex] [pdf] [doi]
[6]The Power of Collaboration: Learning Large Bayesian Networks at Scale
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia
2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), pages 371-378, 2024.
[bibtex] [doi]
2023
[5]Proven optimally-balanced Latin rectangles with SAT
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Proceedings of CP 2023, the 29th International Conference on Principles and Practice of Constraint Programming (Roland Yap, ed.), volume 280 of LIPIcs, pages 48:1–48:10, 2023, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
[bibtex] [pdf] [doi]
2022
[4]Learning Large Bayesian Networks with Expert Constraints
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), Eindhoven, Netherlands, August 1–5, 2022 (James Cussens, Kun Zhang, eds.), pages 180:1592–1601, 2022.
[bibtex] [pdf]
2021
[3]Learning fast-inference Bayesian networks
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Proceedings of NeurIPS 2021, the Thirty-fifth Conference on Neural Information Processing Systems (M. Ranzato, A. Beygelzimer, K. Nguyen, P.S. Liang, J.W. Vaughan, Y. Dauphin, eds.), pages 17852–17863, 2021.
[bibtex] [pdf]
[2]Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Proceeding of AAAI-21, the Thirty-Fifth AAAI Conference on Artificial Intelligence, pages 3895–3903, 2021, AAAI Press.
[bibtex] [pdf]
2020
[1]MaxSAT-Based Postprocessing for Treedepth
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Proceedings of CP 2020, the 26th International Conference on Principles and Practice of Constraint Programming (Helmut Simonis, ed.), volume 12333 of Lecture Notes in Computer Science, pages 478–495, 2020, Springer Verlag.
[bibtex] [pdf] [doi]
  • Doris Brazda
  • Maria Bresich
  • Jiehua Chen
  • Alexis de Colnet
  • Thomas Depian
  • Sara Di Bartolomeo
  • Alexander Dobler
  • Jan Dreier
  • Martin Durand
  • Simon Dominik Fink
  • Alexander Firbas
  • Robert Ganian
  • Christian Hatschka
  • Phuc Hung Hoang
  • Marc Huber
  • Enrico Iurlano
  • Liana Khazaliya
  • Markus Kirchweger
  • Viktoria Korchemna
  • Martin Kronegger
  • Fionn Aidan Mc Inerney
  • Martin Nöllenburg
  • Tomáš Peitl
  • Vaidyanathan P. R.
  • Günther Raidl
  • Franz Xaver Reichl
  • Mathis Rocton
  • Andre Schidler
  • Sofia Simola
  • Frank Sommer
  • Manuel Sorge
  • Johannes Strasser
  • Stefan Szeider
  • Laurenz Tomandl
  • Johannes Varga
  • Florentina Voboril
  • Markus Wallinger
  • Simon Wietheger
  • Hai Xia
  • Tianwei Zhang
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