{
  "id": 12996,
  "url": "https://arxiv.org/abs/2607.19600v1",
  "title": "Deep Shape Regression for Planar Curves with Multimodal Covariates",
  "summary": "The shape of a planar curve is the geometric information that remains once translation, rotation, scale and reparametrisation are removed and is of interest in many health applications, e.g. in neuroimaging. We propose a deep shape regression model for open planar curves that admits multimodal and high-dimensional covariates. Representing curves as complex-valued functions, we show that the conditional full Procrustes mean is the leading eigenfunction of the conditional covariance. To estimate t",
  "authors": "Manuel Pfeuffer, Roshan Prakash Rane, Hadya Yassin, Kerstin Ritter, Sonja Greven",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-21T22:04:17.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12996",
  "original_url": "https://arxiv.org/abs/2607.19600v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}