AINeutralarXiv – CS AI · 18h ago5/10
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STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling
Researchers introduce STELLAR, a machine learning framework designed to improve species distribution modeling by jointly analyzing spatio-temporal environmental data and species interactions while addressing the challenge of rare species prediction. The approach combines graph-temporal encoding, latent space alignment, and specialized loss functions to outperform existing models on biodiversity datasets.