Learning directional Randers geometry for latent-space exploration
Read the original at arxiv.org→arXiv:2611.03675v1 Announce Type: new Abstract: Deep neural networks extract powerful latent representations from images, enabling fast and efficient downstream analysis. However, these latent spaces lack explicit...
Original headline: "Learning Directional Randers Geometry for Latent-Space Exploration"
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- Nov 4, 05:00 UTC arXiv cs.LG lead source Learning Directional Randers Geometry for Latent-Space Exploration