Dapeng Feng

Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models ( <i>δ</i> HBV-globe1.0-hydroDL)

Dapeng Feng, Hylke E. Beck, Jens de Bruijn et al. · Geoscientific model development · 2024 · 39 citations · Full text

Natural Resources, Earth Sciences, Hydrology +15

Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy

Dapeng Feng, Jiangtao Liu, Kathryn Lawson et al. · arXiv (Cornell University) · 2022 · 19 citations · Full text

Natural Resources, Hydrology, Water Resources Management +15

Differentiable modeling to unify machine learning and physical models and advance Geosciences

Chaopeng Shen, Alison Appling, Pierre Gentine et al. · 2023 · 19 citations · Full text

Computing, Computer Science, Earth Sciences +10

S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM

Dapeng Feng, Yu-Hua Qi, Shipeng Zhong et al. · arXiv (Cornell University) · 2022 · 17 citations · Full text

Computing, Computer Science, Robotics Engineering +13

Metamorphic testing of machine learning and conceptual hydrologic models

Peter Reichert, Kai Ma, Marvin Höge et al. · Hydrology and earth system sciences · 2024 · 13 citations · Full text

Natural Sciences, Earth Sciences, Hydrology +14