Hypergraph Clustering: A Modularity Maximization Approach. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (CoRR, 2018)

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (COMPLEX NETWORKS (1), 2019)

Hypergraph clustering by iteratively reweighted modularity maximization. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (Appl. Netw. Sci., 2020)

Automated Discovery of Functional Actual Causes in Complex Environments. - Caleb Chuck; Sankaran Vaidyanathan; Stephen Giguere 001; Amy Zhang 001; David Jensen; Scott Niekum (CoRR, 2024)

Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges. - Aman Singh Thakur; Kartik Choudhary; Venkat Srinik Ramayapally; Sankaran Vaidyanathan; Dieuwke Hupkes (CoRR, 2024)

Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability. - Jatin Nainani; Sankaran Vaidyanathan; AJ Yeung; Kartik Gupta; David Jensen (CoRR, 2024)

Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks. - Connor M. Kennedy; Trace Crowdis; Haoran Hu; Sankaran Vaidyanathan; Hongkun Zhang (Neural Networks, 2024)

Quantitative LLM Judges. - Aishwarya Sahoo; Jeevana Kruthi Karnuthala; Tushar Parmanand Budhwani; Pranchal Agarwal; Sankaran Vaidyanathan; Alexa F. Siu; Franck Dernoncourt; Jennifer Healey; Nedim Lipka; Ryan A. Rossi; Uttaran Bhattacharya; Branislav Kveton (CoRR, 2025)