Frederic Wang, Katherine L. Bouman
Model evidence of the April 6, 2017, M87 black hole observations under five different diffusion priors.
Install required packages with:
pip install -r requirements.txt
Download pretrained checkpoints here and place them in the checkpoints/ folder:
Run experiments and baselines with
python experiments/DIME_gaussian_mixture.py
python experiments/evaluate_MNIST_gaussian.py
python experiments/evaluate_MNIST_fourier.py
python experiments/black_hole_evidence.py
python smc_baselines/MNIST_SMC_adaptive_sweep.py
python smc_baselines/MNIST_SMC_fixed_sweep.py
The training scripts can be found at train_blackhole64x64.py, train_mnist28x28.py, and a notebook with example unconditional sampling can be found at unconditional_sampling.ipynb.
@article{wang2026sample,
title={Sample-efficient evidence estimation of score based priors for model selection},
author={Wang, Frederic and Bouman, Katherine L},
booktitle={International Conference on Learning Representations}
year={2026}
}
