Results for "probabilistic latent"

Probabilistic model for sequential data with latent states.

Autoencoder using probabilistic latent variables and KL regularization.

Diffusion performed in latent space for efficiency.

Modeling environment evolution in latent space.

Probabilistic energy-based neural network with hidden variables.

Probabilistic graphical model for structured prediction.

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Model that compresses input into latent space and reconstructs it.

Diffusion model trained to remove noise step by step.

The internal space where learned representations live; operations here often correlate with semantics or generative factors.