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Vipin Kumar
University of Minnesota Twin CitiesMeeting roles in:
An Encoder-Decoder Framework for Context-Aware Environmental Modeling
Knowledge-Guided Graph Machine Learning Enables High-Resolution Nitrogen Transport Modeling in the Upper Mississippi River Basin
PyKGML: A Python Library for Efficient Development and Benchmark of Knowledge-Guided Machine Learning for Greenhouse Gas Modeling
DeepCarbon: A Global Data Product of Upscaled Carbon Fluxes from Knowledge-Guided Deep Learning Models
UAV4DCrop: An Ultra-High Resolution, Multi-Angle Benchmark UAV Dataset for Time-Series 3D Crop Reconstruction and Modeling
Leveraging Multiple Temporal Scales for Probabilistic Stream Temperature Forecasting
Advancing Climate Science with Deep Learning I Oral
Advancing Climate Science with Deep Learning II Poster
Minimal sampling, maximum insight: A deep learning BRIDGE framework for regional carbon assessment
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