ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Y uqi Chen

Feb-15-2026, 22:40:04 GMT–Neural Information Processing Systems

The work was conducted during the internship of Y uqi Chen and Y uchen Fang at Microsoft Research.

data quality, machine learning, natural language, (18 more...)

Neural Information Processing Systems

Feb-15-2026, 22:40:04 GMT

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Country:
- Asia
  - China > Shanghai
    - Shanghai (0.04)
  - Macao (0.04)
- North America > United States (0.46)

Genre:
- Research Report > New Finding (0.45)

Industry:
- Health & Medicine
  - Epidemiology (0.45)
  - Therapeutic Area (0.68)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning > Neural Networks
      - Deep Learning (1.00)
    - Natural Language (1.00)
    - Representation & Reasoning (0.93)
  - Data Science > Data Quality (0.67)

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ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Y uqi Chen

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