Publications

Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash (2024). H^2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. Proceedings of the 2024 SIAM International Conference on Data Mining (SDM).

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Yu Su, Vivek Anand, Jannie Yu, Jian Tan, Adam Wierman (2024). Learning-Augmented Energy-Aware List Scheduling of Precedence-Constrained Tasks. ACM Transactions on Modeling and Performance Evaluation of Computing Systems.

Vivek Anand, Aleksandar Pramov, Stelios Vrachimis, Marios Polycarpou, Constantine Dovrolis (2023). Incremental versus Optimal Design of Water Distribution Networks - the Case of Tree Topologies. International Conference on Complex Networks and Their Applications 2023.

Vivek Anand, Matthew Yang, Zhanzhan Zhao (2022). Mitigating Filter Bubbles within Deep Recommender Systems.

Vivek Anand, B. Aditya Prakash (2022). Modelling Healthcare Associated Infections with Hypergraphs. epiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data Mining and Knowledge discovery at KDD 2022.

Yu Su, Jannie Yu, Vivek Anand, Adam Wierman (2022). Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks. ACM SIGMETRICS Performance Evaluation Review.

Vivek Anand (2021). Generating Certifiably Adversarial Robust Deep Neural Networks with Minimal Prediction Overhead.