AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LaGSplat (Latent Lagrangian Gaussian Splatting), a framework that infers interactive, physics-governed dynamics from one or a few monocular videos, is presented and validated on test cases of increasing difficulty.
It is demonstrated that imposing a linear encoder preserves most of the representational capacity of the autoencoder, provided the decoder remains nonlinear, and suggested that the nonlinear decoder is the critical component for manifold learning, rather than the encoder.
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