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H^2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions

Heterogeneous agent-based models (HABMs) can simulate the dynamics of multiple types of entities and their interactions on contact …

Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash

Learning-Augmented Energy-Aware List Scheduling of Precedence-Constrained Tasks

We study the problem of scheduling precedence-constrained tasks to balance between performance and energy consumption. We consider a …

Yu Su, Vivek Anand, Jannie Yu, Jian Tan, Adam Wierman

Incremental versus Optimal Design of Water Distribution Networks - the Case of Tree Topologies

This study delves into the differences between incremental and optimized network design, with a focus on tree-shaped water …

Vivek Anand, Aleksandar Pramov, Stelios Vrachimis, Marios Polycarpou, Constantine Dovrolis

Mitigating Filter Bubbles within Deep Recommender Systems

Recommender systems, which offer personalized suggestions to users, power many of today’s social media, e-commerce and …

Vivek Anand, Matthew Yang, Zhanzhan Zhao

Modelling Healthcare Associated Infections with Hypergraphs

Healthcare Associated Infections (HAIs) like MRSA are a major threat to our hospitals and public health systems that significantly …

Vivek Anand, B. Aditya Prakash

Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks

We study the scheduling problem of precedence-constrained tasks to balance between performance and energy consumption. To this point, …

Yu Su, Jannie Yu, Vivek Anand, Adam Wierman

Generating Certifiably Adversarial Robust Deep Neural Networks with Minimal Prediction Overhead

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Vivek Anand