Probabilistic Deep Learning Inversion of AusAEM Data: Bayesian Resistivity Models and Trained Invertible Neural Networks

Wu, Sihong, Sun, Jiajia, Chen, Jiefu

Open source

DOI
10.5281/zenodo.22801713
Published
2026
Container
Not recorded
Publisher
Zenodo
Open access
yes

Credibility signals

limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.5281/zenodo.22801713,
  title = {Probabilistic Deep Learning Inversion of AusAEM Data: Bayesian Resistivity Models and Trained Invertible Neural Networks},
  author = {Wu, Sihong and Sun, Jiajia and Chen, Jiefu},
  year = {2026},
  doi = {10.5281/zenodo.22801713},
  url = {https://doi.org/10.5281/zenodo.22801713}
}

RIS

TY  - JOUR
TI  - Probabilistic Deep Learning Inversion of AusAEM Data: Bayesian Resistivity Models and Trained Invertible Neural Networks
AU  - Wu, Sihong
AU  - Sun, Jiajia
AU  - Chen, Jiefu
PY  - 2026
DO  - 10.5281/zenodo.22801713
UR  - https://doi.org/10.5281/zenodo.22801713
ER  - 

APA

Sihong, W., Jiajia, S., & Jiefu, C. (2026). Probabilistic Deep Learning Inversion of AusAEM Data: Bayesian Resistivity Models and Trained Invertible Neural Networks. https://doi.org/10.5281/zenodo.22801713

Source records