Unverified50% confidenceFactExact time
A Normalizing Flow Map (NFM) is defined such that on the transport path from noise to data, the mapping between any two time points s and t is strictly invertible.
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50%
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Long-term
Relevance
11/2/2026
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UnverifiedNFM can be seen as a generalization of normalizing flows: setting s=1 and t=0 reduces it to an ordinary normalizing flow, while it also combines few-step operator capability with exact likelihood.70% similarUnverifiedNCM is similar to diffusion models in that both abandon strict left-to-right token-by-token generation; the difference is that NCM organizes the generation process with an explicit multi-granularity discrete codebook and a clearer hierarchical structure, whereas diffusion models implicitly control generation granularity through noise levels.63% similarPartially VerifiedForward diffusion is a fixed Markov chain that gradually adds Gaussian noise to the data, and after T steps the data becomes approximately pure noise.63% similarUnverifiedDiffusion LLMs operate on the entire sequence simultaneously in each iteration, so the decoding process is inherently parallel, and total latency depends on the number of denoising steps rather than output length.61% similarUnverifiedNormalizing Trajectory Models (NTM) model each step in the reverse process as an expressive conditional normalizing flow, rather than Gaussian denoising61% similar
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