Daniel Fink — accepted AI-conference papers

2026

LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning

Marc Grimson, Joshua Fan, Courtney L. Davis, Dylan van Bramer, Daniel Fink, Carla P. Gomes

AAAI 2026technical

Global biodiversity loss is accelerating, prompting international efforts such as the Kunming-Montreal Global Biodiversity Framework (GBF) and the United Nations Sustainable Development Goals to direct resources toward halting species declines. A key challenge in achieving this goal is having access

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2026

STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling

Shufeng Kong, Tao Yu, yuanyuan wei, Caihua Liu, Junwen Bai, Yingheng Wang +3

IJCAI 2026

Joint Species Distribution Modeling (JSDM) is a key enabler for biodiversity monitoring and conservation planning. However, accurate JSDM faces two coupled challenges: environmental drivers and species distributions are inherently spatio-temporal, while species co-occurrence patterns exhibit complex

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