Generative Principal Component Regression via Variational Inference.
- DOI
- 10.1109/tsp.2026.3682931
- Published
- 2026
- Container
- IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/tsp.2026.3682931,
title = {Generative Principal Component Regression via Variational Inference.},
author = {Talbot A and Keller CJ and Trevino C and Carlson DE and Dammer EB and Johnson ECB and Wingo TS and Kotlar AV},
year = {2026},
journal = {IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society},
doi = {10.1109/tsp.2026.3682931},
url = {https://doi.org/10.1109/tsp.2026.3682931}
}RIS
TY - JOUR TI - Generative Principal Component Regression via Variational Inference. AU - Talbot A AU - Keller CJ AU - Trevino C AU - Carlson DE AU - Dammer EB AU - Johnson ECB AU - Wingo TS AU - Kotlar AV PY - 2026 JO - IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society DO - 10.1109/tsp.2026.3682931 UR - https://doi.org/10.1109/tsp.2026.3682931 ER -
APA
A, T., CJ, K., C, T., DE, C., EB, D., ECB, J., TS, W., & AV, K. (2026). Generative Principal Component Regression via Variational Inference.. IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tsp.2026.3682931
Source records
- pubmed · retrieved 2026-11-10T15:05:18.613Z