Results for "hidden variables"

Probabilistic energy-based neural network with hidden variables.

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

A hidden variable influences both cause and effect, biasing naive estimates of causal impact.

Hidden behavior activated by specific triggers, causing targeted mispredictions or undesired outputs.

Quantifies shared information between random variables.

A narrow hidden layer forcing compact representations.

Extracting system prompts or hidden instructions.

Autoencoder using probabilistic latent variables and KL regularization.

Models time evolution via hidden states.

Formal model linking causal mechanisms and variables.

Measures joint variability between variables.

Sum of independent variables converges to normal distribution.

Eliminating variables by integrating over them.

Temporary reasoning space (often hidden).

Probabilistic model for sequential data with latent states.