This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

(a) the use of a hierarchical, variational encoder to encode multimodal (multiple types of) data through modality-specific encoders (graph attention network [GAT], convolutional neural network ...