# Differentiable Agent-based Epidemiology

*Source* · `src-chopra-2023-gradabm` · status: **n/a**

| field | value |
|---|---|
| kind | Peer-reviewed paper |
| authors | Ayush Chopra, Alexander Rodriguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar |
| venue | AAMAS 2023 |
| date | 2022-07-20 |
| url | https://arxiv.org/abs/2207.09714 |
| arxiv | 2207.09714 |
| accessed | 2026-10-24 |

## Notes

GradABM: tensorized differentiable agent-based epidemic model; million-agent populations in a few seconds on commodity hardware; gradient-based calibration to COVID-19 and influenza data.

## Backlinks (computed)

**cited by:** [Differentiable simulation](../technique/differentiable-simulation.md)

## Citation

Ayush Chopra, Alexander Rodriguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar (2022-07-20). *Differentiable Agent-based Epidemiology*. AAMAS 2023 https://arxiv.org/abs/2207.09714

---
Provenance: created in run `2026-10-24-techniques-sim-math`.