Integration Matters: Rollout-Based Training for Constrained Diffusion Models
Constrained generative models aim to produce samples that satisfy complex feasibility constraints while remaining faithful to the data distribution. Existing constrained generation methods typically enforce constraints either through traini
https://arxiv.org/abs/2607.14398v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
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 → stable
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Correct facts used on the next screening or memo.
People
X
Xiaoxuan Liang
2.0
low confidence
S
Saeid Naderiparizi
3.2
low confidence
B
Berend Zwartsenberg
2.0
low confidence
F
Frank Wood
2.0
low confidence
Activity & evidence
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