Publications (7)
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Joshua Fan, Junwen Bai, Zhiyun Li +2
Climate change is posing new challenges to crop-related concerns including food insecurity, supply stability and economic planning. As one of the central challenges, crop yield pre…
MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance
Thomson Yen, Julian Poeltl, Harshith Srinivas Gear +9
LLM agents are increasingly expected to carry out end-to-end workflows, producing complete artifacts from high-level user instructions. To meet enterprise needs, frontier AI labs h…
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco +10
Trust and interpretability are crucial for the use of Artificial Intelligence (AI) in scientific research, but current models often operate as black boxes offering limited transpar…
Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
Joshua Fan, Haodi Xu, Feng Tao +4
Soils have potential to mitigate climate change by sequestering carbon from the atmosphere, but the soil carbon cycle remains poorly understood. Scientists have developed process-b…
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon
Haodi Xu, Joshua Fan, Feng Tao +6
The increasing availability of large-scale observational data and the rapid development of artificial intelligence (AI) provide unprecedented opportunities to enhance our understan…
LabelKAN -- Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning
Marc Grimson, Joshua Fan, Courtney L. Davis +3
Global biodiversity loss is accelerating, prompting international efforts such as the Kunming-Montreal Global Biodiversity Framework (GBF) and the United Nations Sustainable Develo…