Toward Efficient Consistency Models via Variance-Reduced Distillation.
- DOI
- 10.1109/tnnls.2026.3705500
- Published
- 2026 Jul 24
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3705500,
title = {Toward Efficient Consistency Models via Variance-Reduced Distillation.},
author = {Choi U and Lee S and Cho M},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3705500},
url = {https://doi.org/10.1109/tnnls.2026.3705500}
}RIS
TY - JOUR TI - Toward Efficient Consistency Models via Variance-Reduced Distillation. AU - Choi U AU - Lee S AU - Cho M PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3705500 UR - https://doi.org/10.1109/tnnls.2026.3705500 ER -
APA
U, C., S, L., & M, C. (2026). Toward Efficient Consistency Models via Variance-Reduced Distillation.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3705500
Source records
- pubmed · retrieved 2026-09-25T08:53:30.816Z
- europe-pmc · retrieved 2026-09-25T08:53:30.830Z