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

10 results

2025
[10]	StreamLLM: Enhancing Constraint Programming with Large Language Model-Generated Streamliners Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider 2025 IEEE/ACM 1st International Workshop on Neuro-Symbolic Software Engineering (NSE), pages 17-22, 5 2025, IEEE Computer Soc.. [bibtex] [pdf] [doi]
[9]	Balancing Latin Rectangles with LLM-Generated Streamliners Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider 31st International Conference on Principles and Practice of Constraint Programming, CP 2025, August 10-15, 2025, Glasgow, Scotland (Maria Garcia de la Banda, ed.), volume 340 of LIPIcs, pages 36:1–36:17, 2025, Schloss Dagstuhl - Leibniz-Zentrum für Informatik. [bibtex] [pdf] [doi]
[8]	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach Carlos Ansótegui, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia Computational Science - ICCS 2025 - 25th International Conference, Singapore, July 7-9, 2025, Proceedings, Part II (Michael H. Lees, Wentong Cai, Siew Ann Cheong, Yi Su, David Abramson, Jack J. Dongarra, Peter M. A. Sloot, eds.), volume 15904 of Lecture Notes in Computer Science, pages 35–49, 2025, Springer Verlag. [bibtex] [pdf] [doi]
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]