Uncertainty-aware Dimensionality Reduction

Uncertainty-Aware Dimensionality Reduction is a dimensionality reduction technique that explicitly incorporates quantified uncertainty from high-dimensional data into the projection process to preserve uncertainty structure in the reduced space.

19

Publications

1.2K

Citations

72

Authors

40

Institutions

Publications per year

2017–2026

10

Authors

72

  1. OZ
    Olivier Zahm

    Massachusetts Institute of Technology, United States

    1 publications · 60 citations

    1

    h-index

  2. ZL
    Zhencong Li

    Guangdong Medical College, China

    1 publications · 18 citations

    1

    h-index

  3. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    1 publications · 22 citations

    1

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  4. ZR
    Zhuyin Ren

    Tsinghua University, China

    1 publications · 60 citations

    1

    h-index

  5. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 72

Venues

  1. Combustion and Flame

    2 publications · 82 citations

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  2. 1

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  3. Materials Today Proceedings

    1 publications · 14 citations

    1

    h-index

  4. Journal of Computational Physics

    1 publications · 164 citations

    1

    h-index

  5. 1

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1–5