Sampling High-Dimensional Constrained Gaussian Distributions Using Circulant Gibbs
- DOI
- 10.1109/icip61757.2026.11630488
- Published
- 2026-09
- Container
- 2026 IEEE International Conference on Image Processing (ICIP)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/icip61757.2026.11630488,
title = {Sampling High-Dimensional Constrained Gaussian Distributions Using Circulant Gibbs},
author = {Pierre Minier and Jean-François Giovannelli and François Orieux and Marcelo Pereyra},
year = {2026},
journal = {2026 IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/icip61757.2026.11630488},
url = {https://doi.org/10.1109/icip61757.2026.11630488}
}RIS
TY - JOUR TI - Sampling High-Dimensional Constrained Gaussian Distributions Using Circulant Gibbs AU - Pierre Minier AU - Jean-François Giovannelli AU - François Orieux AU - Marcelo Pereyra PY - 2026 JO - 2026 IEEE International Conference on Image Processing (ICIP) DO - 10.1109/icip61757.2026.11630488 UR - https://doi.org/10.1109/icip61757.2026.11630488 ER -
APA
Minier, P., Giovannelli, J., Orieux, F., & Pereyra, M. (2026). Sampling High-Dimensional Constrained Gaussian Distributions Using Circulant Gibbs. 2026 IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/icip61757.2026.11630488
Source records
- crossref · retrieved 2026-09-26T17:18:13.050Z