Results for "probabilistic latent"
Models that define an energy landscape rather than explicit probabilities.
Simultaneous Localization and Mapping for robotics.
Sampling multiple outputs and selecting consensus.
Probabilities do not reflect true correctness.
Software pipeline converting raw sensor data into structured representations.
External sensing of surroundings (vision, audio, lidar).
Inferring the agent’s internal state from noisy sensor data.
Sampling-based motion planner.
Estimating robot position within a map.
Understanding objects exist when unseen.
Human-like understanding of physical behavior.
Controlling robots via language.
Systems where failure causes physical harm.
Predicting case success probabilities.
AI proposing scientific hypotheses.
Risk threatening humanity’s survival.