Heavy-Tailed Flow Matching via Random Clocks
Heavy-tailed data arise in many domains where rare events carry disproportionate importance, such as imbalanced image datasets, financial returns, and weather extremes. Standard diffusion and flow-matching models typically begin from Gaussi
https://arxiv.org/abs/2607.13841v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↑ improving
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Correct facts used on the next screening or memo.
People
Z
Zhouhao Yang
1.0
low confidence
Y
Yezhen Wang
1.0
low confidence
K
Kenji Kawaguchi
1.0
low confidence
V
Vladimir Braverman
1.0
low confidence
H
Haoyang Cao
1.0
low confidence
Activity & evidence
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