AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DSReg (Dependency-Sparsity Regularization) recovers individual world latents up to signed permutation, without reconstruction or a decoder, without reconstruction or a decoder, and establishes the first fully identifiable JEPA that recovers every world latent.
Causal foundation models (CFMs) amortise causal inference over priors of synthetic structural causal models (SCMs), predicting the effect of an experiment on a specific variable. However, observational data alone may leave multiple causal models compatible with available evidence, while experimental data with intervent...
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