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Found 2 papers, 1 papers with code
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
Toward the goal of ZSG to unseen variation in context, we propose the contextual recurrent state-space model (cRSSM), which introduces changes to the world model of the Dreamer (v3) (Hafner et al., 2023).
Latent Diffusion Counterfactual Explanations
LDCE harnesses the capabilities of recent class- or text-conditional foundation latent diffusion models to expedite counterfactual generation and focus on the important, semantic parts of the data.
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