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Y-Shaped-Generative-Flows
machinestein/Y-Shaped-Generative-Flows
Y-Shaped-Generative-Flows is a machine learning model from machinestein. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Most generative models learn V-shaped flows—each sample travels alone from prior to data along its own near-straight path. Effective, but blind to the fact that real data has hierarchical structure.
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Updated Feb 26, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026
- SHA
- bf85e3a1
Model card
From the Hugging Face model README
Y-Shaped Generative Flows
Most generative models learn V-shaped flows—each sample travels alone from prior to data along its own near-straight path. Effective, but blind to the fact that real data has hierarchical structure.
We introduce Y-Shaped Generative Flows: samples move together along shared "trunks" and only later branch into target-specific endpoints. Think rivers, trees, vascular systems, supply networks.
Key ideas:
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Models learn a shared representation path before specializing
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Better captures hierarchical relationships in data
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More efficient use of model capacity
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Natural fit for data with common structure + individual variation
Paper: https://arxiv.org/pdf/2510.11955 Code: https://github.com/machinestein/Y-Shaped-Generative-Flows
- License
- apache-2.0
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026