ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation
In recent years Flow Matching has become a prominent method for generative modeling robot motion generation. In its generic form Flow Matching is an ODE-based neural sampler that is trained by regressing empirical flow fields associated wit
https://arxiv.org/abs/2607.14424v1 ↗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 ↑ improving
Traction → stable
Idea vs market → stable
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Correct facts used on the next screening or memo.
People
N
Nutan Chen
2.0
low confidence
J
Jianxiang Feng
6.6
low confidence
M
Marvin Alles
2.0
low confidence
B
Botond Cseke
2.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Justin Woodbridge
Hegel AI
· Active
Open source tools for developing generative AI applications
founders not scraped yet