10+ Top Generative Memory Lab Online Courses [2024]

Critical Windows: Non-Asymptotic Theory for Feature Emergence in Diffusion Models

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Bridging Associative Memory and Probabilistic Modeling

Spontaneous Symmetry Breaking in Generative Diffusion Models

Action Matching: Learning Stochastic Dynamics from Samples

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Reflected Diffusion Models

Diffusion Models as Plug-and-Play Priors

Building Normalizing Flows with Stochastic Interpolants

Hierarchically Branched Diffusion Models for Efficient and Interpretable Multi-Class Conditional Generation

Planning with Diffusion for Flexible Behavior Synthesis

Diffusion Models for Inverse Problems

Generative Memory Lab Courses

Critical Windows: Non-Asymptotic Theory for Feature Emergence in Diffusion Models

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Bridging Associative Memory and Probabilistic Modeling

Spontaneous Symmetry Breaking in Generative Diffusion Models

Action Matching: Learning Stochastic Dynamics from Samples

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Reflected Diffusion Models

Diffusion Models as Plug-and-Play Priors

Building Normalizing Flows with Stochastic Interpolants

Hierarchically Branched Diffusion Models for Efficient and Interpretable Multi-Class Conditional Generation

Planning with Diffusion for Flexible Behavior Synthesis

Diffusion Models for Inverse Problems