Vaidyanathan Peruvemba Ramaswamy

Recent Publications

Generating Streamlining Constraints with Large Language Models
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
Journal of Artificial Intelligence Research, volume 84, pages 16:1-16:19, 2025.
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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), volume 280 of LIPIcs, pages 48:1-48:10, 2023, Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
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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 and Kun Zhang), pages 180:1592–1601, 2022.
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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 and A. Beygelzimer and K. Nguyen and P.S. Liang and J.W. Vaughan and Y. Dauphin), pages 17852-17863, 2021.
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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.
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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), volume 12333 of Lecture Notes in Computer Science, pages 478-495, 2020, Springer Verlag.
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