Learning Generalizable Neural Operators for Inverse Problems

Adam Thorpe, Stepan Tretiakov, Dibakar Sarkar, Krishna Kumar, Ufuk Topcu

Open source

DOI: 10.21203/rs.3.rs-8408330/v1
Published: 2026-02-06
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-8408330/v1,
  title = {Learning Generalizable Neural Operators for Inverse Problems},
  author = {Adam Thorpe and Stepan Tretiakov and Dibakar Sarkar and Krishna Kumar and Ufuk Topcu},
  year = {2026},
  doi = {10.21203/rs.3.rs-8408330/v1},
  url = {https://doi.org/10.21203/rs.3.rs-8408330/v1}
}

RIS

TY  - JOUR
TI  - Learning Generalizable Neural Operators for Inverse Problems
AU  - Adam Thorpe
AU  - Stepan Tretiakov
AU  - Dibakar Sarkar
AU  - Krishna Kumar
AU  - Ufuk Topcu
PY  - 2026
DO  - 10.21203/rs.3.rs-8408330/v1
UR  - https://doi.org/10.21203/rs.3.rs-8408330/v1
ER  -

APA

Thorpe, A., Tretiakov, S., Sarkar, D., Kumar, K., & Topcu, U. (2026). Learning Generalizable Neural Operators for Inverse Problems. https://doi.org/10.21203/rs.3.rs-8408330/v1

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crossref · retrieved 2026-09-25T21:27:02.854Z