Concepedia

Hybrid Generative Models

Hybrid Generative Models is a class of generative models that integrates distinct generative modeling paradigms—such as likelihood-based, implicit, or energy-based methods—within a unified framework to leverage their complementary strengths in modeling complex data distributions.

144

Publications

9.4K

Citations

890

Authors

264

Institutions

Publications per year

2017–2026

79

Parents

Publications

144

NIPS 2016 Tutorial: Generative Adversarial Networks

Ian Goodfellow · arXiv (Cornell University) · 2016 · 1.3K citations · Full text

, , +9

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network

Fei Zhu, Fei Ye, Yuchen Fu et al. · Scientific Reports · 2019 · 539 citations · Full text

, , +16

A comprehensive survey and analysis of generative models in machine learning

Harshvardhan GM, Mahendra Kumar Gourisaria, Manjusha Pandey et al. · Computer Science Review · 2020 · 424 citations

, , +16

A Hybrid Discriminative/Generative Approach for Modeling Human Activities

Jonathan Lester, Tanzeem Choudhury, Nicky Kern et al. · TUbilio (Technical University of Darmstadt) · 2005 · 402 citations

, , +15

Principled Hybrids of Generative and Discriminative Models

Julia Lasserre, C.M. Bishop, Thomas P. Minka · 2006 · 343 citations

, , +11

1–5 of 144

Authors

890

  1. NB
    Nizar Bouguila

    Concordia University, Canada

    6 publications · 203 citations

    6

    h-index

  2. AF
    Akinori Fujino

    NTT (Japan), Japan

    4 publications · 233 citations

    4

    h-index

  3. MW
    Max Welling

    University of Amsterdam, Netherlands

    3 publications · 134 citations

    3

    h-index

  4. KS
    Kazumi Saito

    University of Shizuoka, Japan

    3 publications · 201 citations

    3

    h-index

  5. HA
    Hagai Attias

    University of California, San Francisco, United States

    2 publications · 169 citations

    2

    h-index

1–5 of 890

Institutions

264

  1. Concordia University

    Montreal, Canada

    7 h-index

    11 publications

    275 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    4 h-index

    10 publications

    341 citations

  3. Centre National de la Recherche Scientifique

    Paris, France

    4 h-index

    7 publications

    139 citations

  4. Microsoft (United States)

    Redmond, United States

    4 h-index

    12 publications

    233 citations

  5. University College London

    London, United Kingdom

    4 h-index

    7 publications

    246 citations

  6. Fudan University

    Shanghai, China

    3 h-index

    9 publications

    364 citations

  7. Princeton University

    Princeton, United States

    3 h-index

    6 publications

    297 citations

  8. University of Washington

    Seattle, United States

    3 h-index

    5 publications

    1.2K citations

1–8 of 264

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 2.2K citations

    14

    h-index

  2. IEEE Access

    2 publications · 117 citations

    2

    h-index

  3. Computational Materials Science

    2 publications · 121 citations

    2

    h-index

  4. Electronics

    2 publications · 58 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 130 citations

    2

    h-index

1–5