Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

A robust inverse framework using knowledge-guided self-supervised learning for inverse parameter estimation in hydrology.

@inproceedings{ghosh2022robust,
  title={Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology},
  author={Ghosh, Rahul and Renganathan, Arvind and Tayal, Kshitij and Khandelwal, Ankush and Jia, Xiaowei and Li, Xiang and Neiber, John and Duffy, Chris and Kumar, Vipin},
  booktitle={KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={465--474},
  year={2022}
}