@inproceedings{hermans2020likelihood,
  title={Likelihood-free mcmc with amortized approximate ratio estimators},
  author={Hermans, Joeri and Begy, Volodimir and Louppe, Gilles},
  booktitle={International Conference on Machine Learning},
  pages={4239--4248},
  year={2020},
  organization={PMLR}
}
@article{miller2021truncated,
    title={Truncated Marginal Neural Ratio Estimation},
    author={Miller, Benjamin Kurt and Cole, Alex and Forr{\'e}, Patrick and Louppe, Gilles and Weniger, Christoph},
    journal={Advances in Neural Information Processing Systems},
    volume={34},
    year={2021}
}

@article{miller2020simulation,
    title={Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time},
    author={Miller, Benjamin Kurt and Cole, Alex and Louppe, Gilles and Weniger, Christoph},
    journal={Machine Learning and the Physical Sciences: Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS)},
    year={2020}
}
