• Login
  • Register

Work for a Member company and need a Member Portal account? Register here with your company email address.

Project

Large Population Models

Copyright

Camera Culture - Media Lab

Ayush Chopra MIT Media Lab

Publication

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.

Publication

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

Publication

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.

Publication

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.

Publication

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)

Publication

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)

Publication

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.

Publication

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

Publication

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.

Publication

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.