Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Gaussian process

Related lectures (31)

Gaussian Random Vectors: Conditional Generation Log in to Mediaspace to watch this video

Explores generating Gaussian random vectors with specific components based on observed values and explains the concept of positive definite covariance functions in Gaussian processes.

Fourier Transform: Properties and Applications Log in to Mediaspace to watch this video

Covers the properties and applications of the Fourier transform and its relation to Heisenberg's uncertainty principle.

Martingales and Brownian Motion: Drift and Exit Time Log in to Mediaspace to watch this video

Explores Brownian motion with drift, exit probabilities, and average exit times from intervals.

Stochastic Processes: Spectral Density, Markov Chains, and Gaussian Variables Log in to Mediaspace to watch this video

Covers spectral density, Markov chains, Gaussian variables, and more in stochastic processes.

Stochastic Processes: Generation and Embedding Log in to Mediaspace to watch this video

Explores the generation of stochastic processes, including Gaussian processes, Markov processes, Poisson processes, and circulant embedding.

Elements of Statistics: Memorylessness and Stationary Processes Log in to Mediaspace to watch this video

Covers memorylessness, stationary processes, MLE estimation, and random walks.

Conditional Gaussian Generation Log in to Mediaspace to watch this video

Explores the generation of multivariate Gaussian distributions and the challenges of factorizing covariance matrices.

Topic Models: Understanding Latent Structures Log in to Mediaspace to watch this video

Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.

State Space Models: Expressivity of Transformers Log in to Mediaspace to watch this video

Covers state space models and the expressivity of transformers in sequence copying tasks.

Data Classification: Mixture Models Log in to Mediaspace to watch this video

Explores EMG signal analysis, mixture models, Gaussian models, and spike sorting in neural signal processing using PCA.

Equivariant Structural Representations Log in to Mediaspace to watch this video

Explores equivariant structural representations in atomistic machine learning, emphasizing the importance of representing target properties in the spherical basis.