{
  "schema_version": 1,
  "title": "Repro - DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting",
  "emoji": "🎯",
  "space_id": "ancs21/repro-dropoutts",
  "paper": {
    "arxiv_id": "2601.21726"
  },
  "tags": [
    "icml2026-repro",
    "paper-7sksHLUvhH"
  ],
  "updated_at": "2026-07-17T01:22:08+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "claim-3-experimental-setup-6-baselines-7-datasets-l-96-24",
        "title": "Claim 3: Experimental setup (6 baselines, 7 datasets, L=96/24)",
        "file": "pages/claim-3-experimental-setup-6-baselines-7-datasets-l-96-24/page.md",
        "children": []
      },
      {
        "slug": "claim-4-negligible-overhead-params-latency-speedup",
        "title": "Claim 4: Negligible overhead (params, latency, speedup)",
        "file": "pages/claim-4-negligible-overhead-params-latency-speedup/page.md",
        "children": []
      },
      {
        "slug": "claim-1-synth-benchmark-informer-improvement",
        "title": "Claim 1: Synth benchmark - Informer improvement",
        "file": "pages/claim-1-synth-benchmark-informer-improvement/page.md",
        "children": []
      },
      {
        "slug": "claim-5-orthogonal-compatibility-with-selective-learning",
        "title": "Claim 5: Orthogonal compatibility with Selective Learning",
        "file": "pages/claim-5-orthogonal-compatibility-with-selective-learning/page.md",
        "children": []
      },
      {
        "slug": "claim-2-real-world-etth2-improvement",
        "title": "Claim 2: Real-world ETTh2 improvement",
        "file": "pages/claim-2-real-world-etth2-improvement/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 3591,
  "revision": "1784251328493291000"
}