Physics-guided dual implicit neural representations for source separation
- DOI
- 10.1088/2632-2153/ae14ac
- Published
- 2025-11-11
- Container
- Machine Learning: Science and Technology
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/2632-2153/ae14ac,
title = {Physics-guided dual implicit neural representations for source separation},
author = {Yuan Ni and Zhantao Chen and Alexander N Petsch and Edmund Xu and Cheng Peng and Alexander I Kolesnikov and Sugata Chowdhury and Arun Bansil and Jana B Thayer and Joshua J Turner},
year = {2025},
journal = {Machine Learning: Science and Technology},
doi = {10.1088/2632-2153/ae14ac},
url = {https://doi.org/10.1088/2632-2153/ae14ac}
}RIS
TY - JOUR TI - Physics-guided dual implicit neural representations for source separation AU - Yuan Ni AU - Zhantao Chen AU - Alexander N Petsch AU - Edmund Xu AU - Cheng Peng AU - Alexander I Kolesnikov AU - Sugata Chowdhury AU - Arun Bansil AU - Jana B Thayer AU - Joshua J Turner PY - 2025 JO - Machine Learning: Science and Technology DO - 10.1088/2632-2153/ae14ac UR - https://doi.org/10.1088/2632-2153/ae14ac ER -
APA
Ni, Y., Chen, Z., Petsch, A. N., Xu, E., Peng, C., Kolesnikov, A. I., Chowdhury, S., Bansil, A., Thayer, J. B., & Turner, J. J. (2025). Physics-guided dual implicit neural representations for source separation. Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ae14ac
Source records
- crossref · retrieved 2026-09-25T05:02:44.100Z