Gaussian Distribution
A normal distribution from which noise is sampled, known for its nice properties that simplify the math in diffusion models.
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Videos Mentioning Gaussian Distribution
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Parametric Filtering
Stanford Online
A probability distribution characterized by its bell shape, defined by a mean (mu) and variance (sigma^2). It assigns non-zero probability to all real values.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Multi-Sensor Fusion
Stanford Online
A common probability distribution assumed for sensor measurements and noise in the context of Kalman filtering and data fusion.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 1 - Diffusion
Stanford Online
A normal distribution from which noise is sampled, known for its nice properties that simplify the math in diffusion models.
Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)
Stanford Online
A probability distribution characterized by its bell shape, defined by its mean and variance. Used extensively in GMMs.
Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis
Stanford Online
The core distribution discussed in the lecture, fundamental to Gaussian Discriminant Analysis. Its properties in 1D and 2D are explained.
Stanford CS229 Machine Learning | Spring 2026 | Lecture 4: Exponential Family, GLMs Classification
Stanford Online
Another example distribution that fits into the exponential family framework, relevant for understanding errors in least squares.