73 citations · 118 across the 24 of their papers we have counts for
5 papers · 1 filter
On the limits of agency in agent-based models
Ayush Chopra, Shashank Kumar, Nurullah Giray-Kuru +2
Agent-based modeling (ABM) offers powerful insights into complex systems, but its practical utility has been limited by computational constraints and simplistic agent behaviors, es…
Private Agent-Based Modeling
Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray-Kuru +2
The practical utility of agent-based models in decision-making relies on their capacity to accurately replicate populations while seamlessly integrating real-world data streams. Ye…
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling
Gauri Gupta, Ritvik Kapila, Ayush Chopra +1
Pandemics, notably the recent COVID-19 outbreak, have impacted both public health and the global economy. A profound understanding of disease progression and efficient response str…
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu +2
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiab…
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks
Ayush Chopra, Esma Gel, Jayakumar Subramanian +5
We introduce DeepABM, a framework for agent-based modeling that leverages geometric message passing of graph neural networks for simulating action and interactions over large agent…