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BAD-PODS

Anonymous code release for review

This repository contains the implementation of BAD-PODS (Bayesian Adaptive Design for Partially Observable Dynamical Systems).

The code provides:

  • Estimators of the expected information gain (EIG) and its gradient.
  • An online framework based on nested particle filters (NPFs).
  • Example experiments: two-group SIR model and moving source location.

License

This project is licensed under the MIT License.

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Implementation of BAD-PODS (submitted to AISTATS 2026).

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