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Found 4 papers, 1 papers with code
Improving Discrete Diffusion Models via Structured Preferential Generation
In the domains of image and audio, diffusion models have shown impressive performance.
Alignment is Key for Applying Diffusion Models to Retrosynthesis
Retrosynthesis, the task of identifying precursors for a given molecule, can be naturally framed as a conditional graph generation task.
Generative Modelling With Inverse Heat Dissipation
While diffusion models have shown great success in image generation, their noise-inverting generative process does not explicitly consider the structure of images, such as their inherent multi-scale nature.
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models
Using deep latent variable models in causal inference has attracted considerable interest recently, but an essential open question is their ability to yield consistent causal estimates.
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