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ORCIDP. R. Vaidyanathan
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- affiliation: TU Wien, Vienna, Austria
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Journal Articles
- 2020
[j1]Bireswar Das, Shivdutt Sharma
, P. R. Vaidyanathan:
Space efficient representations of finite groups. J. Comput. Syst. Sci. 114: 137-146 (2020)
Conference and Workshop Papers
- 2023
- [c8]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Proven Optimally-Balanced Latin Rectangles with SAT (Short Paper). CP 2023: 48:1-48:10 - [c7]Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto:
On inference and learning with probabilistic generating circuits. UAI 2023: 829-838 - 2022
- [c6]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Learning large Bayesian networks with expert constraints. UAI 2022: 1592-1601 - 2021
- [c5]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. AAAI 2021: 3895-3903 - [c4]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Learning Fast-Inference Bayesian Networks. NeurIPS 2021: 17852-17863 - 2020
- [c3]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
MaxSAT-Based Postprocessing for Treedepth. CP 2020: 478-495 - 2019
- [c2]Bireswar Das, Shivdutt Sharma, P. R. Vaidyanathan:
Succinct Representations of Finite Groups. FCT 2019: 229-242 - 2017
- [c1]Neeldhara Misra, Chinmay Sonar, P. R. Vaidyanathan:
On the Complexity of Chamberlin-Courant on Almost Structured Profiles. ADT 2017: 124-138
Data and Artifacts
- 2023
- [d3]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Supplementary Material for Proven optimally-balanced Latin rectangles with SAT. Version 1.0. Zenodo, 2023 [all versions]
- [d2]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Supplementary Material for Proven optimally-balanced Latin rectangles with SAT. Version 1.1. Zenodo, 2023 [all versions] - 2021
- [d1]Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
aditya95sriram/bn-slim: NeurIPS 2021. Zenodo, 2021
Informal and Other Publications
- 2024
- [i4]Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Realtime Generation of Streamliners with Large Language Models. CoRR abs/2408.10268 (2024) - 2021
- [i3]Neeldhara Misra, Chinmay Sonar, P. R. Vaidyanathan, Rohit Vaish:
Equitable Division of a Path. CoRR abs/2101.09794 (2021) - 2020
- [i2]Bireswar Das, Shivdutt Sharma, P. R. Vaidyanathan:
Space Efficient Representations of Finite Groups. CoRR abs/2002.11391 (2020) - [i1]P. R. Vaidyanathan, Stefan Szeider:
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. CoRR abs/2006.13843 (2020)
Coauthor Index
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