{
  "id": 625091,
  "title": "Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting",
  "url": "https://urgent.news/2026/08/11/two-stage-odd-residual-flows-for-mean-preserving-probabilistic-time",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-11T16:22:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.11114v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Probabilistic forecasting plays an essential role in risk-sensitive decision-making, particularly in long-horizon settings. However, existing approaches often face a fundamental trade-off between distributional flexibility and accurate mean prediction. Traditional parametric methods, such as Mean Variance Estimation (MVE), can suffer from degraded point accuracy when trained under joint Negative…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}