2 papers
cs.LG2026
An Introduction to Flow Matching and Diffusion Models
Peter Holderrieth, Ezra Erives
Diffusion and flow-based models have become the state of the art for generative AI across a wide range of data modalities, including images, videos, shapes, molecules, music, and m…
cs.LG2025
Continuously Tempered Diffusion Samplers
Ezra Erives, Bowen Jing, Peter Holderrieth +1
Annealing-based neural samplers seek to amortize sampling from unnormalized distributions by training neural networks to transport a family of densities interpolating from source t…