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cs.LG2024
Explaining latent representations of generative models with large multimodal models
Mengdan Zhu, Zhenke Liu, Bo Pan +2
Learning interpretable representations of data generative latent factors is an important topic for the development of artificial intelligence. With the rise of the large multimodal…
cs.LG2024
Non-Euclidean Spatial Graph Neural Network
Zheng Zhang, Sirui Li, Jingcheng Zhou +4
Spatial networks are networks whose graph topology is constrained by their embedded spatial space. Understanding the coupled spatial-graph properties is crucial for extracting powe…