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Codes for the "Neural Density Estimation and Uncertainty Quantification for Laser Induced Breakdown Spectroscopy Spectra" paper, accepted in the Machine Learning and the Physical Sciences Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).

• LIBS_regression_per_oxide-git.ipynb - Performs regression for LIBS spectra and uncertainty propagation with bootstrapping
• bootstrap_PLS_example.py - Example for implementing bootstrapping with PLS models

Datasets can be made available upon request.