Manifold Constrained Conformal Prediction for Spatial Events
arXiv 2607.10008•0a6d410f1f5b4e0c3d16575fedd8d0eca216e522c834114973b7526f114726b9
CNN-LSTMHuber-lossReLU-approximationTARNetWasserstein-distanceattentionbackground-knowledgecausal-discoverycausal-mediationconformal-predictioncopuladepth-vs-widthflow-based-samplingneural-network-theoryno-essential-heterogeneitynonconvex-regularizationoptimal-transportpseudo-labelingrepresentation-learningscalable-algorithmsshort-text-clusteringsparse-demixingspatial-eventsspatio-temporal-forecastinguncertainty-quantification
Paper metadata
- arXiv ID
- 2607.10008
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 0a6d410f1f5b4e0c3d16575fedd8d0eca216e522c834114973b7526f114726b9
- Enrichment time
- 2026-07-14T07:23:55Z
- AI-assisted enrichment
- Yes
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