LarNO vs. MIKE+ reference — animated water depth comparison (5-min steps, 6-hour flood event, Futian district Shenzhen, ~100 km²). Left: MIKE+ hydraulic solver (reference). Right: LarNO prediction.
Abstract: Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led ...
Seth Z. Zhao*, Huizhi Zhang*, Zhaowei Li, Juntong Peng, Anthony Chui, Zewei Zhou, Zonglin Meng, Hao Xiang, Zhiyu Huang, Fujia Wang, Ran Tian, Chenfeng Xu, Bolei Zhou, Jiaqi Ma This is the official ...
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