pith:LS7YXZ3Q
CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision
CSI-JEPA learns reusable temporal-spectral representations from unlabeled Wi-Fi channel state information through masked prediction of latent features.
arxiv:2605.14171 v1 · 2026-05-13 · cs.LG · cs.NI
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Claims
CSI-JEPA improves downstream sensing performance over competitive baselines, achieving up to 10.64 percentage points mean accuracy gain over state-of-the-art supervised Transformer and matched-budget label savings of up to 98.0%.
That representations learned via masked prediction on unlabeled CSI transfer effectively to diverse downstream tasks and deployment settings with only lightweight adapters and no substantial domain shift.
CSI-JEPA learns temporal-spectral representations from unlabeled CSI via masked prediction and achieves up to 10.64 percentage points accuracy gain and 98% label savings on seven real-world Wi-Fi sensing tasks.
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| First computed | 2026-05-17T23:39:11.353327Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cbf8be7701cfefaabc3dc448cc771991479a7c8d90840297122deafcda6a367
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LS7YXZ3QDT7PVK6D3RCIZR3RTE \
| jq -c '.canonical_record' \
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Canonical record JSON
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