{"slug": "gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation", "title": "GAUDI: Geometry-Aware Diffusion for Calibrated Air-Quality Time-Series Imputation", "summary": "A paper submitted to arXiv on 24 Sep 2026 introduces GAUDI, a geometry-aware conditional diffusion imputer for air-quality time-series data that achieves an RMSE of 0.340 on the ItalyAir benchmark, compared with 0.355 for full context and 0.355 for local CSDI. The configuration retains temporal and feature processing, visible-value and mask conditioning, variable identity, and diffusion-step information while suppressing absolute time-position side embeddings, evaluated on 13 variables, length-32 windows, and nominal 50% block missingness across three archived seeds. The authors state the experiment isolates a geometry-aware conditioning effect under block missingness.", "body_md": "# Computer Science > Machine Learning\n\n  [Submitted on 24 Sep 2026]\n\n# Title:GAUDI: Geometry-Aware Diffusion for Calibrated Air-Quality Time-Series Imputation\n\n[View PDF](https://arxiv.org/pdf/2609.30340)\n\n[HTML (experimental)](https://arxiv.org/html/2609.30340v1)\n\nAbstract:Air-quality sensor outages often create contiguous missing blocks, where side information useful for isolated missingness may be less reliable. We study a block-specific, GAUDI-aligned conditional diffusion imputer that retains temporal and feature processing, visible-value and mask conditioning, variable identity, and diffusion-step information, while suppressing absolute time-position side embeddings. On ItalyAir (13 variables, length-32 windows, nominal 50% block missingness; three archived seeds), this feature-side configuration achieves RMSE 0.340, versus 0.355 for full context and 0.355 for local CSDI. The experiment isolates a geometry-aware conditioning effect under block missingness.\n    \n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\nIArxiv Recommender\n\n*(*[What is IArxiv?](https://iarxiv.org/about))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation", "canonical_source": "https://arxiv.org/abs/2609.30340", "published_at": "2026-09-29 04:00:00+00:00", "updated_at": "2026-09-29 04:18:18.639630+00:00", "lang": "en", "topics": ["machine-learning", "artificial-intelligence", "ai-research"], "entities": ["GAUDI", "arXiv", "ItalyAir", "CSDI"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation", "markdown": "https://wpnews.pro/news/gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation.md", "text": "https://wpnews.pro/news/gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation.txt", "jsonld": "https://wpnews.pro/news/gaudi-geometry-aware-diffusion-for-calibrated-air-quality-time-series-imputation.jsonld"}}