Deep Learning Modus Operandi | EPFL Graph Search

Explores diffusion models, focusing on generating samples from a distribution and the importance of denoising in the process.

Covers a simple mathematical model for supervised learning with k-nearest neighbors in regression.

Introduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.

Explores Variational Autoencoders and Generative Adversarial Networks for deep generative modeling.

Explores document analysis, topic modeling, and generative models for data generation in machine learning.