An interpretable machine learning model for advancing terrestrial ecosystem predictions Conference Paper April, 2022
Invertible neural networks for E3SM land model calibration and simulation... Conference Paper April, 2022
Comprehension of Spatial Constraints by Neural Logic Learning from a Single RGB-D Scan Conference Paper November, 2021
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks Conference Paper November, 2021
X-composer: enabling cross-environments in-situ workflows between HPC and cloud Conference Paper August, 2021
Robotic Understanding of Spatial Relationships Using Neural-Logic Learning Conference Paper February, 2021
Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere–Atmosphere Interactions Conference Paper December, 2020
Clustering-Based Predictive Analytics to Improve Scientific Data Discovery Conference Paper December, 2020
Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling Conference Paper November, 2020
Land Model Testbed: Accelerating Development, Benchmarking and Analysis of Land Surface Models Conference Paper October, 2020
