Hypergraph clustering by iteratively reweighted modularity maximization T Kumar, S Vaidyanathan, H Ananthapadmanabhan, S Parthasarathy, ... Applied Network Science 5 (1), 52, 2020 | 59 | 2020 |
A new measure of modularity in hypergraphs: Theoretical insights and implications for effective clustering T Kumar, S Vaidyanathan, H Ananthapadmanabhan, S Parthasarathy, ... Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020 | 20 | 2020 |
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges AS Thakur, K Choudhary, VS Ramayapally, S Vaidyanathan, D Hupkes arXiv preprint arXiv:2406.12624, 2024 | | 2024 |
Automated Discovery of Functional Actual Causes in Complex Environments C Chuck, S Vaidyanathan, S Giguere, A Zhang, D Jensen, S Niekum arXiv preprint arXiv:2404.10883, 2024 | | 2024 |
Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks C Kennedy, T Crowdis, H Hu, S Vaidyanathan, HK Zhang Neural Networks, 106152, 2024 | | 2024 |