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Praveen Kumar
University of Illinois at Urbana-ChampaignMeeting roles in:
Revisiting Human-Made Decisions for the Texas Floods with Agentic LLM
What Would Have Happened If...?: Counterfactual Explanations of a Hydrological Graph Neural Network using a Generative Adversarial Network
Influence of Corn-Soybean Spatial Patterns on Nitrate Predictions in the Upper Sangamon River Using Graph Neural Networks and Counterfactual Reasoning
Scaling Insights Across Critical Zone Interfaces in Intensively Managed Landscapes: Findings from the Critical Interface Network (CINet) Project
Machine Learning, Physics, and Generative AI for Hydrologic and River Modeling I Poster
AI Frameworks to Enhance Predictability of Biogeochemical and Hydrologic Processes
Machine Learning, Physics, and Generative AI for Hydrologic and River Modeling II Oral
Critical Zone States, Gates, and Hidden Weights: Machine Learning to Understand Temporal Dynamics Based on Sparse or Intermittent Stream Chemistry data
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