Stavrou et al. (2026) SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting
Identification
- Journal: arXiv (Cornell University)
- Year: 2026
- Date: 2026-03-23
- Authors: Nikolas Stavrou, Siamak Mehrkanoon
- DOI: None
Research Groups
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Short Summary
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Objective
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Study Configuration
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- Temporal Scale: N/A (Paper text unreadable)
Methodology and Data
- Models used: N/A (Paper text unreadable)
- Data sources: N/A (Paper text unreadable)
Main Results
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Contributions
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Funding
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Citation
@article{Stavrou2026SmaATQMixUNet,
author = {Stavrou, Nikolas and Mehrkanoon, Siamak},
title = {SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting},
journal = {arXiv (Cornell University)},
year = {2026},
url = {https://openalex.org/W7140345964}
}
Original Source: https://openalex.org/W7140345964