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cs.LG2026
Machine Learning Methods for Studying Latent Neural Activity Dynamics
Shufeng Kong, Fumei Deng, Xinyi Dong +7
Recent developments in brain recording are driving a demand for machine learning tools capable of decoding the latent structure of large populations of neurons. In this paper, we p…
cs.LG2026
STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling
Shufeng Kong, Tao Yu, Yuanyuan Wei +6
Joint Species Distribution Modeling (JSDM) is a key enabler for biodiversity monitoring and conservation planning. However, accurate JSDM faces two coupled challenges: environmenta…