arXiv Machine Learning June 30, 2026 By Richard Schwank, Mathias Drton

Non-parametric recovery of causal diffusion mechanisms from steady-state observations

Read the original on arXiv Machine Learning →

arXiv:2606. 30467v1 Announce Type: cross Abstract: We consider sparse multivariate stochastic systems that evolve in continuous time according to a causal mechanism and present methodology to recover the system's time-infinitesimal transition mechanism from mere cross-sectional data.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

diffusion

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By Yuanyuan Wang, Wenjie Wang, Haoxuan Li, Mingming Gong, Kun Zhang

diffusion efficiency

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diffusion benchmarks

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