Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows
arXiv 2608.11544•437abdaec1eb131bf3693a4ed085e57f55cfbdebee15a867594c17b5234af186
Bayesian-inferencearXivdeep-learninggenerative-modelsmachine-learningnon-securityoptimizationquantum-learningresearch-feedstatistical-machine-learning
Paper metadata
- arXiv ID
- 2608.11544
- 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
- 437abdaec1eb131bf3693a4ed085e57f55cfbdebee15a867594c17b5234af186
- Enrichment time
- 2026-08-13T07:23:50Z
- AI-assisted enrichment
- Yes
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