4 stories tagged with #diffusion-models, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Continuous Diffusion Models Can Obey Formal Syntax
Diffusion language models offer a promising alternative to autoregressive models due to their global, non-causal generation process, but their continuous latent dynamics make discr…
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
Diffusion models generate high-dimensional data with remarkable quality, yet how their training efficiently learns the score function, bypassing the curse of dimensionality when da…
Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection
We address out-of-distribution (OOD) detection across the full spectrum of distribution shifts -- global domain changes, semantic divergence, texture differences, and covariate cor…
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Diffusion models provide powerful priors for zero-shot video inverse problems, but their real-time deployment is hindered by two inefficiencies: high initial latency caused by holi…