pith:NHYP4NR6
Variational views for self-supervised learning in radio astronomy
A beta-VAE supplies generative views that improve self-supervised pre-training for radio galaxy morphology when combined with standard augmentations.
arxiv:2602.18923 v2 · 2026-02-21 · astro-ph.IM · astro-ph.GA
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\usepackage{pith}
\pithnumber{NHYP4NR6FOCX2D2IWHZMIUIJHF}
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Record completeness
Claims
Our experiments show that combining these generative views with standard image augmentations improves downstream classification performance.
That the beta-VAE reconstructions supply non-redundant morphological variations that standard augmentations miss and that these variations remain useful when transferred to the downstream classifier.
Beta-VAE reconstructions used as generative augmentations improve downstream radio galaxy classification when combined with standard image augmentations in self-supervised pre-training.
Formal links
Receipt and verification
| First computed | 2026-05-21T02:04:59.484996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69f0fe363e2b857d0f48b1f2c45109395fbb73b97b0e3e76a8ac7a3c18394d86
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NHYP4NR6FOCX2D2IWHZMIUIJHF \
| 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: 69f0fe363e2b857d0f48b1f2c45109395fbb73b97b0e3e76a8ac7a3c18394d86
Canonical record JSON
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