Local policies for efficiently patrolling a triangulated region by a robot swarm. - Daniela Maftuleac; SeoungKyou Lee; Sándor P. Fekete; Aditya Kumar Akash; Alejandro López-Ortiz; James McLurkin (ICRA, 2015)

Lower Bounds for Graph Exploration Using Local Policies. - Aditya Kumar Akash; Sándor P. Fekete; Seoung Kyou Lee; Alejandro López-Ortiz; Daniela Maftuleac; James McLurkin (J. Graph Algorithms Appl., 2017)

Stochastic Bandits with Delayed Composite Anonymous Feedback. - Siddhant Garg; Aditya Kumar Akash (CoRR, 2019)

FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. - Vishnu Suresh Lokhande; Aditya Kumar Akash; Sathya N. Ravi; Vikas Singh (ECCV (12), 2020)

Learning Invariant Representations using Inverse Contrastive Loss. - Aditya Kumar Akash; Vishnu Suresh Lokhande; Sathya N. Ravi; Vikas Singh (AAAI, 2021)

Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks. - Aditya Kumar Akash; Sixu Li; Nicolás García Trillos (CoRR, 2022)

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization. - Nicolás García Trillos; Aditya Kumar Akash; Sixu Li; Konstantin Riedl; Yuhua Zhu (CoRR, 2024)