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News/Depth-Dependent Hidden-State Collapse in Dynamical System Autoencoders for LiDAR Point-Cloud Classification
arxiv
PublishedJuly 18, 2026 at 4:00 AM
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Depth-Dependent Hidden-State Collapse in Dynamical System Autoencoders for LiDAR Point-Cloud Classification

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Publisher summary· verbatim

arXiv:2607.14463v1 Announce Type: new Abstract: We study Dynamical System Autoencoders (DSAE) for LiDAR point-cloud classification using spatial coordinates and Product Coefficient feature augmentations. The experiments compare separately trained DSAE architectures at encoder depths $K=1,\ldots,5$ a

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Mentioned models
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  • 01
    Dynamical System Autoencoders (DSAE)
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