3 papers
physics.geo-ph2026
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…
cs.LG2026
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…
q-bio.QM2026
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…