View a PDF of the paper titled Gauge Flow Models, by Alexander Strunk and 1 other authors
Abstract:This paper introduces Gauge Flow Models, a novel class of Generative Flow Models. These models incorporate a learnable Gauge Field within the Flow Ordinary Differential Equation (ODE). A comprehensive mathematical framework for these models, detailing their construction and properties, is provided. Experiments using Flow Matching on Gaussian Mixture Models demonstrate that Gauge Flow Models yields significantly better performance than traditional Flow Models of comparable or even larger size. Additionally, unpublished research indicates a potential for enhanced performance across a broader range of generative tasks.
Submission history
From: Alexander Strunk [view email]
[v1]
Thu, 17 Jul 2025 12:24:54 UTC (147 KB)
[v2]
Wed, 6 Aug 2025 08:31:56 UTC (148 KB)
[v3]
Tue, 3 Mar 2026 09:10:55 UTC (145 KB)
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