On the limits of agency in agent-based models
Chopra, Ayush, et al. "On the limits of agency in agent-based models." In Proceedings of Autonomous Agents and Multi-agent Systems (AAMAS) 2025
Distributed Calibration of Agent-based Models
Garg, Aditi, and Ayush Chopra. "Distributed Calibration of Agent-based Models." epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery at KDD 2024. 2024.
First 100 days of pandemic: an interplay of pharmaceutical, behavioral and digital interventions
Gupta, G., Kapila, R., Chopra, A., & Raskar, R. (2024). First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions--A study using agent based modeling. Proceedings of Autonomous Agents and Multi-agent Systems (AAMAS) 2024
Differentiable Agent-based Modeling: Systems, Methods and Applications
Chopra, Quera-bofarull and Zhang. "Differentiable Agent-based Modeling: Systems, Methods and Applications". Tutorial at 23rd Autonomous Agents and Multi-agent Systems (AAMAS) 2024.
Neural Calibration of Agent Based Models Enables Improved Regional Evidence for Vaccine Strategy and Policy
Chopra, Ayush, et al. "Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy." Vaccine 41.48 (2023): 7067-7071.
Differentiable Agent-based Epidemiology
Chopra, Ayush, et al. "Differentiable agent-based epidemiology." Proceedings of 22nd International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2023)
Don’t Simulate Twice: One-shot sensitivity analyses via automatic differentiation
Quera-Bofarull, A., Chopra, A., Aylett-Bullock, J., Cuesta-Lazaro, C., Calinescu, A., Raskar, R., & Wooldridge, M. (2023). Don’t simulate twice: One-shot sensitivity analyses via automatic differentiation. Proceedings of Autonomous Agents and Multi-agent Systems (AAMAS 2023)
Learning to Censor by Noisy Sampling
Chopra, Ayush, et al. "Learning to censor by noisy sampling." European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022.
DeepABM: Scalable, fast and differentiable agent-based simulations via invariant message passing
Chopra, Ayush, et al. "DeepABM: scalable, efficient and differentiable agent-based simulations via graph neural networks." Winter Simulation Conference 2021
Public health impact of delaying second dose of BNT162b2 vaccine
Romero-Brufau, S., Chopra, A., Ryu, A. J., Gel, E., Raskar, R., Kremers, W., ... & Kingsley, T. C. (2021). Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study. bmj, 373.
flame: a Framework for Learning in Agent-based Models
Chopra, Ayush, et al. "flame: A Framework for Learning in Agent-based ModEls." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 2024.