pith:43JTTJYN
Flow Matching with Uncertainty Quantification and Guidance
UA-Flow adds per-sample uncertainty prediction to flow matching and uses it for guided sampling that improves image generation quality over baselines.
arxiv:2602.10326 v2 · 2026-02-10 · cs.CV · cs.LG
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Record completeness
Claims
UA-Flow produces uncertainty signals more highly correlated with sample fidelity than baseline methods, and uncertainty-guided sampling further improves generation quality.
That propagating the predicted heteroscedastic velocity uncertainty through the flow ODE yields a calibrated per-sample reliability signal that can be directly used for guidance without introducing new biases or requiring additional calibration data.
UA-Flow adds per-sample uncertainty prediction to flow matching and uses it for guided sampling that improves image generation quality over baselines.
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Receipt and verification
| First computed | 2026-05-18T03:10:03.560134Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6d339a70ddbd902cadf2765c4a25cc2c137544a26d2506cdaeed4448745d978
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/43JTTJYN3PMQFSW7E5S4JIS4YL \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e6d339a70ddbd902cadf2765c4a25cc2c137544a26d2506cdaeed4448745d978
Canonical record JSON
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