A Multi-objective Optimization Approach for Generating Complex Networks. - Viplove Arora; Mario Ventresca (GECCO (Companion), 2016)

Action-Based Model for Topologically Resilient Supply Networks. - Viplove Arora; Mario Ventresca (COMPLEX NETWORKS, 2017)

Dynamic Generative Model of the Human Brain in Resting-State. - Dali Guo; Viplove Arora; Enrico Amico; Joaquín Goñi; Mario Ventresca (COMPLEX NETWORKS, 2017)

Evaluating the Natural Variability in Generative Models for Complex Networks. - Viplove Arora; Mario Ventresca (COMPLEX NETWORKS (1), 2018)

Modeling topologically resilient supply chain networks. - Viplove Arora; Mario Ventresca (Appl. Netw. Sci., 2018)

An Introduction to Multiobjective Simulation Optimization. - Susan R. Hunter; Eric A. Applegate; Viplove Arora; Bryan Chong; Kyle Cooper; Oscar Rincón-Guevara; Carolina Vivas-Valencia (ACM Trans. Model. Comput. Simul., 2019)

Examining the variability in network populations and its role in generative models. - Viplove Arora; Dali Guo; Katherine D. Dunbar; Mario Ventresca (Netw. Sci., 2020)

Identifying the source of an epidemic using particle swarm optimization. - John MaGee; Viplove Arora; Mario Ventresca (GECCO, 2022)

Investigating cognitive ability using action-based models of structural brain networks. - Viplove Arora; Enrico Amico; Joaquín Goñi; Mario Ventresca (J. Complex Networks, 2022)

Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. - Viplove Arora; Daniele Irto; Sebastian Goldt; Guido Sanguinetti (UAI, 2023)

Exploring the potential of Direct Feedback Alignment for Continual Learning. - Sara Folchini; Viplove Arora; Sebastian Goldt (Trans. Mach. Learn. Res., 2025)