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Amortized Bayesian Inference of GISAXS Data with Normalizing Flows

Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, and Nico Hoffmann

Link to the paper

Machine Learning and the Physical Sciences Workshop at NeurIPS 2022

If you find our work and/or our code useful, please cite us via:

@article{Zhdanov2022AmortizedBI,
  title={Amortized Bayesian Inference of GISAXS Data with Normalizing Flows},
  author={Maksim Zhdanov and Lisa Randolph and Thomas Kluge and Motoaki Nakatsutsumi and Christian Gutt and Marina Ganeva and Nico Hoffmann},
  journal={ArXiv},
  year={2022},
  volume={abs/2210.01543}
}

Train NF-VAE model:

python scripts/train_pipe.py OR see Training.ipynb

Inference

see Inference.ipynb

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Simulation-based inference for GISAXS data

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