Theory-Informed Models

Theory-Informed Generative Models

Developing new generative modeling algorithms informed by mathematical insights.

Enhanced Diffusion Models

Improving sampling efficiency and quality through mathematical analysis.

Manifold-Learning Flows

Leveraging geometric structure in data for more efficient generative models.

Structure-Informed Flows

Incorporating known symmetries and constraints into normalizing flows.

More content coming soon…